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21 Nov 2022
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Removing Barriers to Reproducible Research in Archaeology

Three levels of reproducible workflow remove barriers for archaeologists and increase accessibility

Recommended by ORCID_LOGO based on reviews by Sam Leggett, Cyler Conrad, Cheng Liu and Lisa Lodwick

Over the last decade, a small but growing community of archaeologists, from a diversity of intellectual and demographic backgrounds, have been striving for computational reproducibility in their published research. In their survey of the accomplishments of this thriving community, Emma Karoune and Esther Plomp (2022) analyzed the wide variety of approaches researchers have taken to enhance the reproducibility of their research. A key contribution of this paper is their excellent synthesis of diverse approaches into three levels of increasing complexity. This is helpful because it provides multiple entry points for researchers new to the challenge of fortifying their research. Many researchers assume that computational reproducibility is only achievable if they have a high degree of technical skill with computers, or is only necessary if their work is very computationally intensive. Karoune and Plomp give three compelling reasons why reproducibility is important for all archaeological research, and through their three levels they demonstrate that how these levels can be accomplished with basic, non-specialized computer skills and widely used free software. They showcase exemplary work from a variety of archaeologists to show how practical and achievable reproducible research is for all archaeologists. They advocate for archaeologists to use the most widely used and supported tools and services to support their reproducible research, such as the R and Python programming languages for data analysis, and Git and GitHub for collaboration. 

This paper, with its extensive appendix including thoughtful responses to frequently asked questions about reproducible research in archaeology, is likely to have a wide reach and influence, beyond previous works on this topic that have largely focused on technical details. Karoune and Plomp have provided the on-ramp for a generation of archaeologists who will find their questions about reproducible research answered here. They will also find an agreeable entry point to reproducible research in one of the three levels described by the authors. Will every archaeologist embrace this way of working? Should they? The work of Leonelli (2018) can help us anticipate the answers to these questions. Leonelli asks where are the limits to reproducibility, and how do the characteristics of different ways of knowing affect the desirability of reproducibility? Leonelli's work invites us to consider that there will be archaeologists coming from different epistemic cultures for whom the motivations presented by Karoune and Plomp will not resonate. For example, archaeologists engaged in mostly hermeneutical social science and humanities research, who do little or no quantitative analysis and statistics, are unlikely to see reproducibility as meaningful or desirable for their work. We can describe these researchers as working in interpretative or constructivist epistemic cultures. In these cultures, the particulars of how an individual researcher engages with their subject are exclusive and unique, and they would argue it cannot be fully captured or shared in an meaningful way (Elman and Kapiszewski 2017). Here, knowledge is situational, emerging from a specific, once-off combination of people and circumstances. One example in archaeology is the chaîne opératoire approach of stone artefact analysis, which Monnier and Missal (2014:61) describe as "based upon the analyst's experience and intuition, and it is not replicable, nor quantifiable". To make sense of this example we can draw on Galison's (1997) concept of 'image traditions' and 'logic traditions'. An image tradition is a way of knowing that is qualitative, based on composing narratives from drawings and photographs. A logic tradition is based on the use of instruments and statistical methods to collect standardised quantitative data. Chaîne opératoire approaches fall into the image tradition, along with many other ways of working in archaeology that do not generate numbers or use them to support claims about the past. Archaeologists working in a logic tradition will find reproducible research to be more meaningful than those working in an image tradition.

We should be mindful not to claim that one epistemic culture is superior to another because reproducibility is not meaningful or attainable for researchers in one culture. Such a claim would threaten the plurality that is essential for the reliability of scientific knowledge (Massimi 2022). Instead we should identify those communities in archaeology where reproducible research is both meaningful and attainable, but has not yet been widely embraced. That is the where the most beneficial effects can be expected. According to Leonelli's (2018) framework, we can recognise these communities by a few basic characteristics. For example: they are doing computationally intensive archaeology, such as using or writing software to collect, simulate, analyse or visualise data; they are doing experimental archaeology; or they are making knowledge claims that are supported by tables of numeric data and data visualisations. Archaeologists whose work shares one or more of these characteristics will find the guidance provided here by Karoune and Plomp to be highly instructive and relevant, and stand the most to benefit from it.  ​​

But it is not only individual archaeological scientists that have potential to benefit from how Karoune and Plomp have lowered the barriers to reproducible research. An especially important implication of this paper is that by lowering the barriers to reproducible research, Karoune and Plomp help us all to lower barriers to participation in archaeology in general. Documenting our research transparently, and sharing our materials (such as data and code and so on) openly, can profoundly change how others can participate in archaeology. By doing this, we are enabling students and researchers elsewhere, for example in low and middle income locations, to use our materials in their teaching and learning. Other researchers and students can apply our methods to their data, and combine their data with ours to achieve syntheses beyond what a single project can do. Similarly, for archaeologists working with local, descendant or marginalized communities, the tools of reproducible research are vital for enabling community members to have full access to the archaeological process, and thus reproducibility may be considered a necessity for decolonising the discipline. Karoune and Plomp present the CARE principles (Carroll et al. 2020) to guide archaeologists in ensuring community control of data so that reproducibility can be ethically accomplished with community safety and well-being as a priority. This may have a profoundly positive impact on the demographics of archaeology, as it lowers the barriers of meaningful participation by people far beyond our immediate groups of collaborators. 

Making archaeology more accessible is of critical importance in stemming the negative social impacts of pseudoarchaeologists, who often claim that archaeologists actively suppress the truth of the archaeological record through secrecy, elitism, and exclusiveness. The harm in this is twofold. First, that pseudoarchaeology typically erases Indigenous heritage by claiming that their past achievements were due to an ancient, extinct advanced civilization, not Indigenous people. These claims are often adopted by white supremacists to support racist and antisemitic conspiracy theories (Turner and Turner 2021), which sometimes leads to prejudice, physical violence, radicalization and extremism. A second type of harm that can come from claims of secrecy and elitism is it drains public trust in experts, leading to science denial. Not only trust in archaeologists, but trust in many kinds of experts, including those working on urgent contemporary issues such as public health and climate change. Karoune and Plomp's work is important here because it provides a practical and affordable pathway for archaeologists to fight claims of secrecy and elitism by sharing their work in ways that make it possible for non-academics to inspect the analyses and logic in detail. Claims of secrecy and elitism can be easily countered by openness, transparently and reproducibility by archaeologists. This is not only useful for tackling pseudoarchaeologists, but also in enacting an ethic of care, framing members of the public as people that not only care about archaeology as part of humanity's shared heritage, but also care for the construction of reliable interpretations of the archaeological record to provide secure and authentic foundations for their social identities and relationships (Wylie et al 2018; de la Bellacasa 2011). By striving for reproducible research in the way described by Karoune and Plomp, we are practicing a kind of reciprocal care among ourselves as archaeologists, and between archaeologists and members of the public as two communities who care about the human past. 

 

References

Karoune, E., and Plomp, E. (2022). Removing Barriers to Reproducible Research in Archaeology. Zenodo, 7320029, ver. 5 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7320029

de la Bellacasa, M. P. (2011). Matters of care in technoscience: Assembling neglected things. Social Studies of Science, 41(1), 85–106. https://doi.org/10.1177/0306312710380301

Carroll, S. R., Garba, I., Figueroa-Rodríguez, O. L., Holbrook, J., Lovett, R., Materechera, S., Parsons, M., Raseroka, K., Rodriguez-Lonebear, D., Rowe, R., Sara, R., Walker, J. D., Anderson, J., and Hudson, M. (2020). The CARE Principles for Indigenous Data Governance. Data Science Journal, 19(1), Article 1. https://doi.org/10.5334/dsj-2020-043​

Elman, C., and Kapiszewski, D. (2017). Benefits and Challenges of Making Qualitative Research More Transparent. Inside Higher Ed 2017,  http://web.archive.org/web/20220407064134/https://www.insidehighered.com/blogs/rethinking-research/benefits-and-challenges-making-qualitative-research-more-transparent (accessed 21 Oct, 2022). 

Galison, P. (1997). Image and logic: a material culture of microphysics. Chicago (IL): University of Chicago Press.

Leonelli, S. (2018). Re-Thinking Reproducibility as a Criterion for Research Quality [preprint]. Available online: http://philsci-archive.pitt.edu/id/eprint/14352 (Accessed 21 Oct 2022).

Massimi, M. (2022). Perspectival realism. Oxford University Press.

Monnier, G. F., and Kele M.. "Another Mousterian debate? Bordian facies, chaîne opératoire technocomplexes, and patterns of lithic variability in the western European Middle and Upper Pleistocene." Quaternary International 350 (2014): 59-83. https://doi.org/10.1016/j.quaint.2014.06.053

Turner, D. D., and Turner, M. I. (2021). “I’m Not Saying It Was Aliens”: An Archaeological and Philosophical Analysis of a Conspiracy Theory. In A. Killin and S. Allen-Hermanson (Eds.), Explorations in Archaeology and Philosophy (pp. 7–24). Springer International Publishing. https://doi.org/10.1007/978-3-030-61052-4_2

​Wylie, C., Neeley, K., and Ferguson, S. (2018). Beyond Technological Literacy: Open Data as Active Democratic Engagement? Digital Culture & Society, 4(2), 157–182. https://doi.org/10.14361/dcs-2018-0209​​​

 

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Removing Barriers to Reproducible Research in ArchaeologyEmma Karoune and Esther Plomp<p>Reproducible research is being implemented at different speeds in different disciplines, and Archaeology is at the start of this journey. Reproducibility is the practice of reanalysing data by taking the same steps and producing the same or sim...Computational archaeologyBen Marwick2022-06-07 10:02:46 View
28 May 2020
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TIPZOO: a Touchscreen Interface for Palaeolithic Zooarchaeology. Towards making data entry and analysis easier, faster, and more reliable

A new software to improve standardization and quality of data in zooarchaeology

Recommended by ORCID_LOGO based on reviews by Delphine Vettese and Argant Thierry

Standardization and quality of data collection are identified as challenges for the future in zooarchaeology [1]. These issues were already identified in the early 1970s when the International Council for Archaeozoology (ICAZ) recommended to “standardize measurements and data in publications”. In the recent years, there is strong recommendations by publishers and grant to follow the FAIR Principle i.e. to “improve the findability, accessibility, interoperability, and reuse of digital assets” [2]. As zooarchaeologists, we should make our methods more clear and replicable by other researchers to produce comparable datasets. In this paper the authors make a significant step in proposing a tool to replace traditional data recording softwares. The problems related to data recording are clearly identified and discussed. All the features offered by TIPZOO allow to standardize the data, to reduce the errors when entering the data, to save time with auto-filling entries. The coding system used in TIPZOO is based on variables taken from the most used and updated literature in zooarchaeology. Its connections with various R packages allow to directly export the data and to transform the raw data to produce summary tables, graphs and basic statistics. Finally, the advantage of this tool is that it can be improved, debugged, or implemented at any time. TIPZOO provides a standardized system to compile and share large and consistent datasets that will allow comparison among assemblages at a large scale, and for this reason, I have recommended the work for PCI Archaeology.

References

[1] Steele, T.E. (2015). The contributions of animal bones from archaeological sites: the past and future of zooarchaeology. J. Archaeol. Sci. 56, 168–176. doi: 10.1016/j.jas.2015.02.036
[2] https://go-fair.org/fair-principles/

TIPZOO: a Touchscreen Interface for Palaeolithic Zooarchaeology. Towards making data entry and analysis easier, faster, and more reliableEmmanuel Discamps<p>Zooarchaeological studies of fossil bone collections are often conducted using simple spreadsheet programs for data recording and analysis. After quickly summarizing the limitations of such an approach, we present a new software solution, TIPZO...Spatial analysis, Taphonomy, ZooarchaeologyFlorent Rivals2020-04-16 13:27:00 View
02 Dec 2023
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Research perspectives and their influence for typologies

Complexity and Purpose – A Pragmatic Approach to the Diversity of Archaeological Classificatory Practice and Typology

Recommended by ORCID_LOGO, and ORCID_LOGO based on reviews by Ulrich Veit, Martin Hinz, Artur Ribeiro and 1 anonymous reviewer

“Research perspectives and their influence for typologies” by E. Giannichedda (1) is a contribution to the upcoming volume on the role of typology and type-thinking in current archaeological theory and praxis edited by the recommenders. Taking a decidedly Italian perspective on classificatory practice grounded in what the author dubs the “history of material culture”, Giannichedda offers an inventory of six divergent but overall complementary modes of ordering archaeological material: i) chrono-typological and culture-historical, ii) techno-anthropological, iii) social, iv) socio-economic and v) cognitive. These various lenses broadly align with similarly labeled perspectives on the archaeological record more generally. According to the author, they lend themselves to different ways of identifying and using types in archaeological work. Importantly, Giannichedda reminds us that no ordering practice is a neutral act and typologies should not be devised for their own sake but because we have specific epistemic interests. Even though this view is certainly not shared by everyone involved in the broader debate on the purpose and goal of systematics, classification, typology or archaeological taxonomy (2–4), the paper emphatically defends the long-standing idea that ordering practices are not suitable to elucidate the structure and composition of reality but instead devise tools to answer certain questions or help investigate certain dimensions of complex past realities. This position considers typologies as conceptual prosthetics of knowing, a view that broadly resonates with what is referred to as epistemic instrumentalism in the philosophy of science (5, 6). Types and type-work should accordingly reflect well-defined means-end relationships.

Based on the recognition of archaeology as part of an integrated “history of material culture” rooted in a blend of continental and Anglophone theories, Giannichedda argues that type-work should pay attention to relevant relations between various artefacts in a given historical context that help further historical understanding. Classificatory practice in archaeology – the ordering of artefactual materials according to properties – must thus proceed with the goal of multifaceted “historical reconstruction in mind”. It should serve this reconstruction, and not the other way around. By drawing on the example of a Medieval nunnery in the Piedmont region of northwestern Italy, Giannichedda explores how different goals of classification and typo-praxis (linked to i-v; see above) foreground different aspects, features, and relations of archaeological materials and as such allow to pinpoint and examine different constellations of archaeological objects. He argues that archaeological typo-praxis, for this reason, should almost never concern itself with isolated artefacts but should take into account broader historical assemblages of artefacts. This does not necessarily mean to pay equal attention to all available artefacts and materials, however. To the contrary, in many cases, it is necessary to recognize that some artefacts and some features are more important than others as anchors grouping materials and establishing relations with other objects. An example are so-called ‘barometer objects’ (7) or unique pieces which often have exceptional informational value but can easily be overlooked when only shared features are taken into consideration. As Giannichedda reminds us, considering all objects and properties equally is also a normative decision and does not render ordering less subjective. The archaeological analysis of types should therefore always be complemented by an examination of variants, even if some of these variants are idiosyncratic or even unique. A type, then, may be difficult to define universally.

In total, “Research perspectives and their influence for typologies” emphasizes the need for “elastic” and “flexible” approaches to archaeological types and typologies in order to effectively respond to the manifold research interests cultivated by archaeologists as well as the many and complex past realities they face. Complexity is taken here to indicate that no single research perspective and associated mode of ordering can adequately capture the dimensionality and richness of these past realities and we can therefore only benefit from multiple co-existing ways of grouping and relating archaeological artefacts. Different logics of grouping may simply reveal different aspects of these realities. As such, Giannichedda’s proposal can be read as a formulation of the now classic pluralism thesis (8–11) – that only a plurality of ways of ordering and interrelating artefacts can unlock the full suite of relationships within historical assemblages archaeologists are interested in.

 

Bibliography

1. Giannichedda, E. (2023). Research perspectives and their influence for typologies, Zenodo, 7322855, ver. 9 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7322855

2. Dunnell, R. C. (2002). Systematics in Prehistory, Illustrated Edition (The Blackburn Press, 2002).

3. Reynolds, N. and Riede, F. (2019). House of cards: cultural taxonomy and the study of the European Upper Palaeolithic. Antiquity 93, 1350–1358. https://doi.org/10.15184/aqy.2019.49

4. Lyman, R. L. (2021). On the Importance of Systematics to Archaeological Research: the Covariation of Typological Diversity and Morphological Disparity. J Paleo Arch 4, 3. https://doi.org/10.1007/s41982-021-00077-6

5. Van Fraassen, B. C. (2002). The empirical stance (Yale University Press).

6. Stanford, P. K. (2006). Exceeding Our Grasp: Science, History, and the Problem of Unconceived Alternatives (Oxford University Press). https://doi.org/10.1093/0195174089.001.0001

7. Radohs, L. (2023). Urban elite culture: a methodological study of aristocracy and civic elites in sea-trading towns of the southwestern Baltic (12th-14th c.) (Böhlau).

8. Kellert, S. H., Longino, H. E. and Waters, C. K. (2006). Scientific pluralism (University of Minnesota Press).

9. Cat, J. (2012). Essay Review: Scientific Pluralism. Philosophy of Science 79, 317–325. https://doi.org/10.1086/664747

10. Chang, H. (2012). Is Water H2O?: Evidence, Realism and Pluralism (Springer Netherlands). https://doi.org/10.1007/978-94-007-3932-1

11. Wylie, A. (2015). “A plurality of pluralisms: Collaborative practice in archaeology” in Objectivity in Science, (Springer), pp. 189–210. https://doi.org/10.1007/978-3-319-14349-1_10

 

Research perspectives and their influence for typologiesEnrico Giannichedda<p>This contribution opens with a brief reflection on theoretical archaeology and practical material classification activities. Following this, the various questions that can be asked of artefacts to be classified will be briefly addressed. Questi...Theoretical archaeologyShumon Tobias Hussain2022-11-10 20:14:52 View
11 Dec 2023
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A meta-analysis of Final Palaeolithic/earliest Mesolithic cultural taxonomy and evolution in Europe

Questioning Final Palaeolithic and early Mesolithic cultural taxonomy with a data-driven statistical approach

Recommended by based on reviews by Dirk Leder and 2 anonymous reviewers

Cultural taxonomies are an essential tool for archaeologists working with prehistoric material cultures as they have historically been used to create the basic analytical units for studying cultural evolution through time (de Mortillet, 1883 ; Breuil, 1913). This approach has its limits as the taxonomic units are essentially etic constructions, i.e., they are defined in a cultural context exterior to the one that produced the material culture on which they are based (e.g., Pesesse, 2019). But to approach questions related to cultural evolution, one has to define archaeological units with clear geographic and chronological delineations in order to be compared synchronically and diachronically (e.g., Willey and Philips, 1958). In « A meta-analysis of Final Palaeolitic/Earliest Mesolithic cultural taxonomy and evolution in Europe », F. Riede and colleagues propose a novel and interesting approach to question the end of the Palaeolithic and beginning of the Mesolithic’s « named archaeological cultures » (NACs) analytical pertinence (Riede et al., 2023). In this particular context, NACs are indeed very numerous (n = 86) and result from complex and regional research histories. It seems thus pertinent to question the extent to which the said NACs chronological and geographic patterns result from past cultural diversity and evolution, and are not artefacts of research. 

To do so, the authors adopted a data-driven approach that they describe in detail in the paper. First, they gathered an European data base of lithic tool-kit composition, blade and bladelet technology and armature morphology at 350 key sites considered representative of NACs, dated between 15 and 11 ka (Hussain et al., 2023). These data were then analyzed using geometric morphometrics and a set of statisticaal tests in order to 1) test the coherence of these taxonomic units, and 2) test the chronological change in artefact shape variation. The authors conclude that the data set is partially biased by reasearch practices and histories, as their data-driven approach has only partially replicated traditional NACs for the european Late Palaeolithic/Early Mesolithic. However, their analysis of armature shape evolution has shown a tendency to diversification overtime, a pattern that was already observed in more « traditional » approaches. 

This study is, in my opinion, an excellent contribution for a significant step in macro-regional approaches to the archaeological record: defining discrete archaeological units that serve as a basis for subsequent analyses aimed at delineating cultural evolutionary processes. The authors propose a carefully designed and statistically grounded procedure in order to achieve these definitions in the most replicable and explicit possible manner. Taking advantage of drawings as a primary source of information is also very original despite several limitations of this approach (such as the necessary selection of most typical artefacts to be represented, the incompleteness of data publication or the difficulty to access all published work across such a large geographic area). The results of the study are convincing enough to allow the authors to discuss the pertinence of European Late Paleo/Early Mesolithic NACs, the potential epistemological and historical factors that could affect this taxonomic framework, as well as to give more weight to the traditional hypothesis of lithic cultural diversification towards the end of the Pleistocene/beginning of the Holocene in Europe. 

I would also like to underline the authors’ important efforts to ensure transparence and replicability of their study, as well as the accessibility of the data, thanks to extensive supplementary data and a data paper describing their data set in detail.

Anaïs L. Vignoles 

References

Breuil, H. (1913). Les subdivisions du paléolithique supérieur et leur signification. In Congrès international d’anthropologie et d’archéologie préhistoriques - compte-rendu de la XIVème session, tome 1:165‑238. Genève: Imprimerie Albert Kündig.

Hussain, S. T., Riede, F., Matzig, D. N., Biard, M., Crombé, P., Fernández-Lopéz de Pablo, J., Fontana, F., Groß, D., Hess, T., Langlais, M., Mevel, L., Mills, W., Moník, M., Naudinot, N., Posch, C., Rimkus, T., Stefański, D. and Vandendriessche, H. (2023). A Pan-European Dataset Revealing Variability in Lithic Technology, Toolkits, and Artefact Shapes ~15-11 Kya. Scientific Data 10 (1): 593. https://doi.org/10.1038/s41597-023-02500-9.

Mortillet, G. (1883). Le Préhistorique, antiquité de l’homme. Reinwald. Paris.

Pesesse, D. (2019). Analyser un silex, le façonner à nouveau ? Sur certains usages de la chaîne opératoire au Paléolithique supérieur. Techniques & culture, no 71: 74‑77. https://doi.org/10.4000/tc.11321.

Riede, F., Matzig, D. N., Biard, M., Crombé, P., Fernández-Lopéz de Pablo, J., Fontana, F., Groß, D., Hess, T., Langlais, M., Mevel, L., Mills, W., Moník, M., Naudinot, N., Posch, C., Rimkus, T., Stefański, D., Vandendriessche, H. and Hussain, S. T. (2023). A meta-analysis of Final Palaeolithic/earliest Mesolithic cultural taxonomy and evolution in Europe, Zenodo, 8195587., ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8195587

Willey, G. R. and Phillips, P. (1958). Method and Theory in American Archaeology. Chicago, IL: The University of Chicago Press.

A meta-analysis of Final Palaeolithic/earliest Mesolithic cultural taxonomy and evolution in EuropeFelix Riede, David N. Matzig, Miguel Biard, Philippe Crombé, Javier Fernández-Lopéz de Pablo, Federica Fontana, Daniel Groß, Thomas Hess, Mathieu Langlais, Ludovic Mevel, William Mills, Martin Moník, Nicolas Naudinot, Caroline Posch, Tomas Rimkus,...<p>Archaeological systematics, together with spatial and chronological information, are commonly used to infer cultural evolutionary dynamics in the past. For the study of the Palaeolithic, and particularly the European Final Palaeolithic and earl...Computational archaeology, Europe, Lithic technology, Mesolithic, Upper PalaeolithicAnaïs Vignoles2023-07-29 16:06:17 View
10 Jan 2024
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Linking Scars: Topology-based Scar Detection and Graph Modeling of Paleolithic Artifacts in 3D

A valuable contribution to automated analysis of palaeolithic artefacts

Recommended by ORCID_LOGO based on reviews by Lutz Schubert and 1 anonymous reviewer

In this paper (Linsel/Bullenkamp/Mara 2024), the authors propose an automatic system for scar-ridge-pattern detection on palaeolithic artefacts based on Morse Theory. Scare-Ridge pattern recognition is a process that is usually done manually while creating a drawing of the object itself. Automatic systems to detect scars or ridges exist, but only a small amount of them is utilizing 3D data. In addition to the scar-ridges detection, the authors also experiment in automatically detecting the operational sequence, the temporal relation between scars and ridges. As a result, they can export a traditional drawing as well as graph models displaying the relationships between the scars and ridges.

After an introduction to the project and the practice of documenting palaeolithic artefacts, the authors explain their procedure in automatising the analysis of scars and ridges as well as their temporal relation to each other on these artefacts. To illustrate the process, an open dataset of lithic artefacts from the Grotta di Fumane, Italy, was used and 62 artefacts selected. To establish a Ground Truth, the artefacts were first annotated manually. The authors then continue to explain in detail each step of the automated process that follows and the results obtained.

In the second part of the paper, the results are presented. First the results of the segmentation process shows that the average percentage of correctly labelled vertices is over 91%, which is a remarkable result. The graph modelling however shows some more difficulties, which the authors are aware of. To enhance the process, the authors rightfully aim to include datasets of experimental archaeology in the future. They also aim to develop a way of detecting the operational sequence automatically and precisely.

This paper has great potential as it showcases exactly what Digital and Computational Archaeology is about: The development of new digital methods to enhance the analysis of archaeological data. While this procedure is still in development, the authors were able to present a valuable contribution to the automatization of analytical archaeology. By creating a step towards the machine-readability of this data, they also open up the way to further steps in machine learning within Archaeology.

Bibliography

Linsel, F., Bullenkamp, J. P., and Mara, H. (2024). Linking Scars: Topology-based Scar Detection and Graph Modeling of Paleolithic Artifacts in 3D, Zenodo, 8296269, ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8296269

Linking Scars: Topology-based Scar Detection and Graph Modeling of Paleolithic Artifacts in 3DFlorian Linsel, Jan Philipp Bullenkamp & Hubert Mara<p>Motivated by the concept of combining the archaeological practice of creating lithic artifact drawings with the potential of 3D mesh data, our goal in this project is not only to analyze the shape at the artifact level, but also to enable a mor...Computational archaeology, Europe, Lithic technology, Upper PalaeolithicSebastian Hageneuer2023-09-01 23:03:59 View
19 Feb 2024
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Social Network Analysis of Ancient Japanese Obsidian Artifacts Reflecting Sampling Bias Reduction

Evaluating Methods for Reducing Sampling Bias in Network Analysis

Recommended by ORCID_LOGO based on reviews by Matthew Peeples and 1 anonymous reviewer

In a recent article, Fumihiro Sakahira and Hiro'omi Tsumura (2023) used social network analysis methods to analyze change in obsidian trade networks in Japan throughout the 13,000-year-long Jomon period. In the paper recommended here (Sakahira and Tsumura 2024), Social Network Analysis of Ancient Japanese Obsidian Artifacts Reflecting Sampling Bias Reduction they revisit that data and describe additional analyses that confirm the robustness of their social network analysis. The data, analysis methods, and substantive conclusions of the two papers overlap; what this new paper adds is a detailed examination of the data and methods, including use of bootstrap analysis to demonstrate the reasonableness of the methods they used to group sites into clusters.

Both papers begin with a large dataset of approximately 21,000 artifacts from more than 250 sites dating to various times throughout the Jomon period. The number of sites and artifacts, varying sample sizes from the sites, as well as the length of the Jomon period, make interpretation of the data challenging. To help make the data easier to interpret and reduce problems with small sample sizes from some sites, the authors assign each site to one of five sub-periods, then define spatial clusters of sites within each period using the DBSCAN algorithm. Sites with at least three other sites within 10 km are joined into clusters, while sites that lack enough close neighbors are left as isolates. Clusters or isolated sites with sample sizes smaller than 30 were dropped, and the remaining sites and clusters became the nodes in the networks formed for each period, using cosine similarities of obsidian assemblages to define the strength of ties between clusters and sites.

The main substantive result of Sakahira and Tsumura’s analysis is the demonstration that, during the Middle Jomon period (5500-4500 cal BP), clusters and isolated sites were much more connected than before or after that period. This is largely due to extensive distribution of obsidian from the Kozu-shima source, located on a small island off the Japanese mainland. Before the Middle Jomon period, Kozu-shima obsidian was mostly found at sites near the coast, but during the Middle Jomon, a trade network developed that took Kozu-shima obsidian far inland. This ended after the Middle Jomon period, and obsidian networks were less densely connected in the late and last Jomon periods.

The methods and conclusions are all previously published (Sakahira and Tsumura 2023). What Sakahira and Tsumura add in Social Network Analysis of Ancient Japanese Obsidian Artifacts Reflecting Sampling Bias Reduction are:

·       an examination of the distribution of cosine similarities between their clusters for each period

·       a similar evaluation of the cosine similarities within each cluster (and among the unclustered sites) for each period

·       bootstrap analyses of the mean cosine similarities and network densities for each time period

These additional analyses demonstrate that the methods used to cluster sites are reasonable, and that the use of spatially defined clusters as nodes (rather than the individual sites within the clusters) works well as a way of reducing bias from small, unrepresentative samples. An alternative way to reduce that bias would be to simply drop small assemblages, but that would mean ignoring data that could usefully contribute to the analysis.

The cosine similarities between clusters show patterns that make sense given the results of the network analysis. The Middle Jomon period has, on average, the highest cosine similarities between clusters, and most cluster pairs have high cosine similarities, consistent with the densely connected, spatially expansive network from that time period. A few cluster pairs in the Middle Jomon have low similarities, apparently representing comparisons including one of the few nodes on the margins on the network that had little or no obsidian from the Kozu-shima source. The other four time periods all show lower average inter-cluster similarities and many cluster pairs have either high or low similarities. This probably reflects the tendency for nearby clusters to have very similar obsidian assemblages to each other and for geographically distant clusters to have dissimilar obsidian assemblages. The pattern is consistent with the less densely connected networks and regionalization shown in the network graphs. Thinking about this pattern makes me want to see a plot of the geographic distances between the clusters against the cosine similarities. There must be a very strong correlation, but it would be interesting to know whether there are any cluster pairs with similarities that deviate markedly from what would be predicted by their geographic separation.

The similarities within clusters are also interesting. For each time period, almost every cluster has a higher average (mean and median) within-cluster similarity than the similarity for unclustered sites, with only two exceptions. This is partial validation of the method used for creating the spatial clusters; sites within the clusters are at least more similar to each other than unclustered sites are, suggesting that grouping them this way was reasonable.

Although Sakahira and Tsumura say little about it, most clusters show quite a wide range of similarities between the site pairs they contain; average within-cluster similarities are relatively high, but many pairs of sites in most clusters appear to have low similarities (the individual values are not reported, but the pattern is clear in boxplots for the first four periods). There may be value in further exploring the occurrence of low site-to-site similarities within clusters. How often are they caused by small sample sizes? Clusters are retained in the analysis if they have a total of at least 30 artifacts, but clusters may contain sites with even smaller sample sizes, and small samples likely account for many of the low similarity values between sites in the same cluster. But is distance between sites in a cluster also a factor? If the most distant sites within a spatially extensive cluster are dissimilar, subdividing the cluster would likely improve the results. Further exploration of these within-cluster site-to-site similarity values might be worth doing, perhaps by plotting the similarities against the size of the smallest sample included in the comparison, as well as by plotting the cosine similarity against the distance between sites. Any low similarity values not attributable to small sample sizes or geographic distance would surely be worth investigating further.

Sakahira and Tsumura also use a bootstrap analysis to simulate, for each time period, mean cosine similarities between clusters and between site pairs without clustering. They also simulate the network density for each time period before and after clustering. These analyses show that, almost always, mean simulated cosine similarities and mean simulated network density are higher after clustering than before. The simulated mean values also match the actual mean values better after clustering than before. This improved match to actual values when the sites are clustered for the bootstrap reinforces the argument that clustering the sites for the network analysis was a reasonable result.

The strength of this paper is that Sakahira and Tsumura return to reevaluate their previously published work, which demonstrated strong patterns through time in the nature and extent of Jomon obsidian trade networks. In the current paper they present further analyses demonstrating that several of their methodological decisions were reasonable and their results are robust. The specific clusters formed with the DBSCAN algorithm may or may not be optimal (which would be unreasonable to expect), but the authors present analyses showing that using spatial clusters does improve their network analysis. Clustering reduces problems with small sample sizes from individual sites and simplifies the network graphs by reducing the number of nodes, which makes the results easier to interpret.

Reference

Sakahira, F. and Tsumura, H. (2023). Tipping Points of Ancient Japanese Jomon Trade Networks from Social Network Analyses of Obsidian Artifacts. Frontiers in Physics 10:1015870. https://doi.org/10.3389/fphy.2022.1015870

Sakahira, F. and Tsumura, H. (2024). Social Network Analysis of Ancient Japanese Obsidian Artifacts Reflecting Sampling Bias Reduction, Zenodo, 10057602, ver. 7 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7969330

Social Network Analysis of Ancient Japanese Obsidian Artifacts Reflecting Sampling Bias ReductionFumihiro Sakahira, Hiro’omi Tsumura<p>This study aims to investigate the dynamics of obsidian trade networks during the Jomon period (approximately 15,000 to 2,400 years ago), the hunting and gathering era in Japan. To improve regional representation and reduce the distortions caus...Asia, Computational archaeologyJames Allison Thegn Ladefoged, Matthew Peeples2023-05-28 05:51:12 View
21 Mar 2023
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Archaeology, Typology and Machine Epistemology

Automation and Novelty –Archaeocomputational Typo-Praxis in the Wake of the Third Science Revolution

Recommended by ORCID_LOGO, and ORCID_LOGO based on reviews by Rachel Crellin and 1 anonymous reviewer

“Archaeology, Typology and Machine Epistemology” submitted by G. Lucas (1) offers a refreshing and welcome reflection on the role of computer-based practice, type-thinking and approaches to typology in the age of big data and the widely proclaimed ‘Third Science Revolution’ (2–4). At the annual meeting of the EAA in Maastricht in 2017, a special thematic block was dedicated to issues and opportunities linked to the Third Science Revolution in archaeology “because of [its] profound and wide ranging impact on practice and theory in archaeology for the years to come” (5). Even though the Third Science Revolution, as influentially outlined by Kristiansen in 2014 (2), has occasionally also been met with skepticism and critique as to its often implicit scientism and epistemological naivety (6–8), archaeology as a whole seems largely euphoric as to the promises of the advancing ‘revolution’. As Lucas perceptively points out, some even regard it as the long-awaited opportunity to finally fulfil the ambitions and goals of Anglophone processualism. The irony here, as Lucas rightly notes, is that early processualists initially foregrounded issues of theory and scientific epistemology, while much work conducted under the banner of the Third Science Revolution, especially within its computational branches, does not. Big data advocates have echoed Anderson’s much-cited “end of theory” (9) or at least emphatically called for an ‘empirization’ and ‘computationalization’ of theory, often under the banner of ‘data-driven archaeology’ (10), yet typically without much specification of what this is supposed to mean for archaeological theory and reflexivity. The latter is indeed often openly opposed by archaeological Third Science Revolution enthusiasts, arguably because it is viewed as part of the supposedly misguided ‘post-modernist’ project.

Lucas makes an original meta-archaeological contribution here and attempts to center the epistemological, ontological and praxeological dimensions of what is actually – in situated archaeological praxis and knowledge-production – put at stake by the mobilization of computers, algorithms and artificial intelligence (AI), including its many but presently under-reflected implications for ordering practices such as typologization. Importantly, his perspective thereby explicitly and deliberately breaks with the ‘normative project’ in traditional philosophy of science, which sought to nail down a universal, prescriptive way of doing science and securing scientific knowledge. He instead focuses on the practical dimensions and consequences of computer-reliant archaeologies, what actually happens on the ground as researchers try to grapple with the digital and the artefactual and try to negotiate new insights and knowledge, including all of the involved messiness – thereby taking up the powerful impetus of the broader practice turn in interdisciplinary science studies and STS (Science and Technology Studies (11)) (12–14), which have recently also re-oriented archaeological self-observation, metatheory and epistemology (15). This perspective on the dawning big data age in archaeology and incurred changes in the status, nature and aims of type-thinking produces a number of important insights, which Lucas fruitfully discusses in relation to promises of ‘automation’ and ‘novelty’ as these feature centrally in the rhetorics and politics of the Third Science Revolution. 

With regard to automation, Lucas makes the important point that machine or computer work as championed by big data proponents cannot adequately be qualified or understood if we approach the issue from a purely time-saving perspective. The question we have to ask instead is what work do machines actually do and how do they change the dynamics of archaeological knowledge production in the process? In this optic, automation and acceleration achieved through computation appear to make most sense in the realm of the uncontroversial, in terms of “reproducing an accepted way of doing things” as Lucas says, and this is precisely what can be observed in archaeological practice as well. The ramifications of this at first sight innocent realization are far-reaching, however. If we accept the noncontroversial claim that automation partially bypasses the need for specialists through the reproduction of already “pre-determined outputs”, automated typologization would primarily be useful in dealing with and synthesizing larger amounts of information by sorting artefacts into already accepted types rather than create novel types or typologies. If we identity the big data promise at least in part with automation, even the detection of novel patterns in any archaeological dataset used to construct new types cannot escape the fact that this novelty is always already prefigured in the data structure devised. The success of ‘supervised learning’ in AI-based approaches illustrates this. Automation thus simply shifts the epistemological burden back to data selection and preparation but this is rarely realized, precisely because of the tacit requirement of broad non-contentiousness. 

Minimally, therefore, big data approaches ironically curtail their potential for novelty by adhering to conventional data treatment and input formats, rarely problematizing the issue of data construction and the contested status of (observational) data themselves. By contrast, they seek to shield themselves against such attempts and tend to retain a tacit universalism as to the nature of archaeological data. Only in this way is it possible to claim that such data have the capacity to “speak for themselves”. To use a concept borrowed from complexity theory, archaeological automation-based type-construction that relies on supposedly basal, incontrovertible data inputs can only ever hope to achieve ‘weak emergence’ (16) – ‘strong emergence’ and therefore true, radical novelty require substantial re-thinking of archaeological data and how to construct them. This is not merely a technical question as sometimes argued by computational archaeologies – for example with reference to specifically developed, automated object tracing procedures – as even such procedures cannot escape the fundamental question of typology: which kind of observations to draw on in order to explore what aspects of artefactual variability (and why). The focus on readily measurable features – classically dimensions of artefactual form – principally evades the key problem of typology and ironically also reduces the complexity of artefactual realities these approaches assert to take seriously. The rise of computational approaches to typology therefore reintroduces the problem of universalism and, as it currently stands, reduces the complexity of observational data potentially relevant for type-construction in order to enable to exploration of the complexity of pattern. It has often been noted that this larger configuration promotes ‘data fetishism’ and because of this alienates practitioners from the archaeological record itself – to speak with Marxist theory that Lucas briefly touches upon. We will briefly return to the notion of ‘distance’ below because it can be described as a symptomatic research-logical trope (and even a goal) in this context of inquiry. 

In total, then, the aspiration for novelty is ultimately difficult to uphold if computational archaeologies refuse to engage in fundamental epistemological and reflexive self-engagement. As Lucas poignantly observes, the most promising locus for novelty is currently probably not to be found in the capacity of the machines or algorithms themselves, but in the modes of collaboration that become possible with archaeological practitioners and specialists (and possibly diverse other groups of knowledge stakeholders). In other words, computers, supercomputers and AI technologies do not revolutionize our knowledge because of their superior computational and pattern-detection capacities – or because of some mysterious ‘superintelligence’ – but because of the specific ‘division of labour’ they afford and the cognitive challenge(s) they pose. Working with computers and AI also often requires to ask new questions or at least to adapt the questions we ask. This can already be seen on the ground, when we pay attention to how machine epistemologies are effectively harnessed in archaeological practice (and is somewhat ironic given that the promise of computational archaeology is often identified with its potential to finally resolve "long-standing (old) questions"). The Third Science Revolution likely prompts a consequential transformation in the structural and material conditions of the kinds of ‘distributed’ processes of knowledge production that STS have documented as characteristic for scientific discoveries and knowledge negotiations more generally (14, 17, 18). This ongoing transformation is thus expected not only to promote new specializations with regard to the utilization of the respective computing infrastructures emerging within big data ecologies but equally to provoke increasing demand for new ways of conceptualizing observations and to reformulate the theoretical needs and goals of typology in archaeology. The rediscovery of reflexivity as an epistemic virtue within big data debates would be an important step into this direction, as it would support the shared goal of achieving true epistemic novelty, which, as Lucas points out, is usually not more than an elusive self-declaration. Big data infrastructures require novel modes of human-machine synergy, which simply cannot be developed or cultivated in an atheoretical and/or epistemological disinterested space. 

Lucas’ exploration ultimately prompts us to ask big questions (again), and this is why this is an important contribution. The elephant in the room, of course, is the overly strong notion of objectivity on which much computational archaeology is arguably premised – linked to the vow to eventually construct ‘objective typologies’. This proclivity, however, re-tables all the problematic debates of the 1960s and – to speak with the powerful root metaphor of the machine fueling much of causal-mechanistic science (19, 20) – is bound to what A. Wylie (21) and others have called the ‘view from nowhere’. Objectivity, in this latter view, is defined by the absence of positionality and subjectivity – chiefly human subjectivity – and the promise of the machine, and by extension of computational archaeology, is to purify and thus to enhance processes of knowledge production by minimizing human interference as much as possible. The distancing of the human from actual processes of data processing and inference is viewed as positive and sometimes even as an explicit goal of scientific development. Interestingly, alienation from the archaeological record is framed as an epistemic virtue here, not as a burden, because close connection with (or even worse, immersion in) the intricacies of artefacts and archaeological contexts supposedly aggravates the problem of bias. The machine, in this optic, is framed as the gatekeeper to an observer-independent reality – which to the backdoor often not only re-introduces Platonian/Aristotelian pledges to a quasi-eternal fabric of reality that only needs to be “discovered” by applying the right (broadly nonhuman) means, it is also largely inconsistent with defendable and currently debated conceptions of scientific objectivity that do not fall prey to dogma.  

Furthermore, current discussions on the open AI ChatGPT have exposed the enormous and still under-reflected dangers of leaning into radical renderings of machine epistemology: precisely because of the principles of automation and the irreducible theory-ladenness of all data, ecologies such as ChatGPT tend to reinforce the tacit epistemological background structures on which they operate and in this way can become collaborators in the legitimization and justification of the status quo (which again counteracts the potential for novelty) – they reproduce supposedly established patterns of thought. This is why, among other things, machines and AI can quickly become perpetuators of parochial and neocolonial projects – their supposed authority creates a sense of impartiality that shields against any possible critique. With Lucas, we can thus perhaps cautiously say that what is required in computational archaeology is to defuse the authority of the machine in favour of a new community archaeology that includes machines as (fallible) co-workers. Radically put, computers and AI should be recognized as subjects themselves, and treated as such, with interesting perspectives on team science and collaborative practice.

 

Bibliography

1. Lucas, G. (2022). Archaeology, Typology and Machine Epistemology. https:/doi.org/10.5281/zenodo.7620824.

2. Kristiansen, K. (2014). Towards a New Paradigm? The Third Science Revolution and its Possible Consequences in Archaeology. Current Swedish Archaeology 22, 11–34. https://doi.org/10.37718/CSA.2014.01.

3. Kristiansen, K. (2022). Archaeology and the Genetic Revolution in European Prehistory. Elements in the Archaeology of Europe. https://doi.org/10.1017/9781009228701

4. Eisenhower, M. S. (1964). The Third Scientific Revolution. Science News 85, 322/332. https://www.sciencenews.org/archive/third-scientific-revolution.

5. The ‘Third Science Revolution’ in Archaeology. http://www.eaa2017maastricht.nl/theme4 (March 16, 2023).

6. Ribeiro, A. (2019). Science, Data, and Case-Studies under the Third Science Revolution: Some Theoretical Considerations. Current Swedish Archaeology 27, 115–132. https://doi.org/10.37718/CSA.2019.06

7. Samida, S. (2019). “Archaeology in times of scientific omnipresence” in Archaeology, History and Biosciences: Interdisciplinary Perspectives, pp. 9–22. https://doi.org/10.1515/9783110616651

8. Sørensen, T. F.. (2017). The Two Cultures and a World Apart: Archaeology and Science at a New Crossroads. Norwegian Archaeological Review 50, 101–115. https://doi.org/10.1080/00293652.2017.1367031

9. Anderson, C. (2008). The end of theory: The data deluge makes the scientific method obsolete. Wired. https://www.wired.com/2008/06/pb-theory/.

10. Gattiglia, G. (2015). Think big about data: Archaeology and the Big Data challenge. Archäologische Informationen 38, 113–124. https://doi.org/10.11588/ai.2015.1.26155

11. Hackett, E. J. (2008). The handbook of science and technology studies, Third edition, MIT Press/Society for the Social Studies of Science.

12. Ankeny, R., Chang, H., Boumans, M. and Boon, M. (2011). Introduction: philosophy of science in practice. Euro Jnl Phil Sci 1, 303. https://doi.org/10.1007/s13194-011-0036-4

13. Soler, L., Zwart, S., Lynch, M., Israel-Jost, V. (2014). Science after the Practice Turn in the Philosophy, History, and Social Studies of Science, Routledge.

14. Latour, B. and Woolgar, S. (1986). Laboratory life: the construction of scientific facts, Princeton University Press.

15. Chapman, R. and Wylie, A. (2016) Evidential reasoning in archaeology, Bloomsbury Academic.

16. Greve, J. and Schnabel, A. (2011). Emergenz: zur Analyse und Erklärung komplexer Strukturen, Suhrkamp.

17. Shapin, S., Schaffer, S. and Hobbes, T. (1985). Leviathan and the air-pump: Hobbes, Boyle, and the experimental life, including a translation of Thomas Hobbes, Dialogus physicus de natura aeris by Simon Schaffer, Princeton University Press.

18. Galison, P. L. and Stump, D. J. (1996).The Disunity of Science: Boundaries, Contexts, and Power, Stanford University Press.

19. Pepper, S. C. (1972). World hypotheses: a study in evidence, 7. print, University of California Press.

20. Hussain, S. T. (2019). The French-Anglophone divide in lithic research: A plea for pluralism in Palaeolithic Archaeology, Open Access Leiden Dissertations. https://hdl.handle.net/1887/69812 

21. A. Wylie, A. (2015). “A plurality of pluralisms: Collaborative practice in archaeology” in Objectivity in Science, pp. 189-210, Springer. https://doi.org/10.1007/978-3-319-14349-1_10

Archaeology, Typology and Machine EpistemologyGavin Lucas<p>In this paper, I will explore some of the implications of machine learning for archaeological method and theory. Against a back-drop of the rise of Big Data and the Third Science Revolution, what lessons can be drawn from the use of new digital...Computational archaeology, Theoretical archaeologyShumon Tobias HussainAnonymous, Rachel Crellin2022-10-31 15:25:38 View
05 Jan 2024
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The Density of Types and the Dignity of the Fragment. A Website Approach to Archaeological Typology.

Roster and Lexicon – A Radical Digital-Dialogical Approach to Questions of Typology and Categorization in Archaeology

Recommended by ORCID_LOGO, and ORCID_LOGO based on reviews by Dominik Hagmann and 2 anonymous reviewers

“The density of types and the dignity of the fragment. A website approach to archaeological typology” by G. Buccellati and M. Kelly-Buccellati (1) is a contribution to the rapidly growing literature on digital approaches to archaeological data management, expertly showcasing the significant theoretical and epistemological impetus of such work. The authors offer a conceptually lucid discussion of key concepts in archaeological ordering practices surrounding the longstanding tension between so-called ‘etic’ and ‘emic’ approaches, thereby providing a thorough systematic of how to think through sameness and difference in the context of voluminous digital archaeological data. 

As a point of departure, the authors reconsider the relationship between archaeological fragments – spatiotemporally bounded artefacts and features – and their larger meaning-giving totality as the primary locus of archaeological knowledge. Typology can then be said to serve this overriding quest to resolve the conflict between parts and wholes, as the parts themselves are never sufficient to render the whole but the whole remains elusive without reference to the parts. Buccellati and Kelly-Buccellati here make an interesting point about the importance to register the globality of the archaeological record – that is, literally everything encountered in the soil – without making any prior choices as to what supposedly matters and what not. The distinctiveness of the archaeological enterprise, according to them, indeed consists of the circumstance that merely disconnected fragments come to the attention of archaeologists and the only objective data that can be attained, because of this, are about the situated location of fragments in the ground and their relation to other fragments – what they call ‘emplacement’. This, we would add, includes the relationship of fragments with human observers and the employed methods of excavation as observation. As the authors say: “[i]t is in this sense that the fragments are natively digital: they are atoms that do not cohere into a typological whole”.

The systematic exploration of how the so recovered fragments may be re-articulated is then essentially the goal of archaeological categorization and typology but these practices can only ever be successful if the whole context of original ‘emplacement’ is carefully taken into consideration. This reconstruction of the fundamental epistemological situation archaeology finds itself in leads the authors to a general rejection of ‘more’ vs. ‘less’ objective or even subjective ordering practices as such qualifications tend to miss the point. What matters is to enable the flexible and scalable confrontation of isolated archaeological fragments, to do experiment with and test different part-whole relations and their possible knowledge contributions. It is no coincidence that the authors insist on a dynamical approach to ordering practices and type-thinking in archaeology here, which in many ways comes often very close to the general conceptual orientation philosopher Stephen C. Pepper (2) has called ‘organicism’ – a preoccupation of resolving the tension between heterogeneous fragments and coherent wholes without losing sight of the specificity of each single fragment. In the view of organicist thinkers, and the authors seem to share this recognition, to take complexity seriously means to centre the dialectics between fragments and wholes in their entirety. This notion is directly reflected in the authors’ interesting definition of ‘big data’ in archaeology as a multi-layered and multi-referential system of organizing the totality of observations of emplacement (the Global record).

Based on this broader exposition, Buccellati and Kelly-Buccellati make some perceptive and noteworthy observations vis-à-vis the aforementioned emic-etic distinction that has caused so much archaeological confusion and debate (3–6). To begin with, emic and etic designate different systemic logics of organizing observable sameness and difference. Emic systems are closed and foreground the idea of the roster, they recognize only a limited set of types whose identity depends on relative differences. Etic systems, on the other hand, are in principle open (and even open-ended) and rely on the notion of the lexicon; they enlist a principally endless repertoire of traits, types and sub-types (classes and sub-classes may be added to this list of course). Difference in etic systems is moreover defined according to some general standards that appear to eclipse the standards of the system itself. Etic systems therefore tend to advocate supposedly universal principles of how to establish similarity vs. difference, although, in reality, there is substantial debate as to what these principles may be or whether such endeavour is a useful undertaking. In the wild, both etic and emic systems of ordering and categorization are of course encountered in the plural but etic systems deploy external standards of order while emic systems operate via internal standards. An interesting observation by the authors in this context is that archaeological reasoning in relation to sameness and difference is almost never either exclusively etic or exclusively emic. The simple reason is that any grouping of fragments according to technological (means/modes of production) or functional considerations (use-wear, tool design, relation between form and function) based on empirical evidence is typically already infused by emic standards. The classic example from the analysis of archaeological pottery is ware groups, which reference the nexus of technological know-how and concrete practices, and which rely, in a given context, on internal, relative differentiations between the respective observed practices. Yet ignoring these distinctions would sideline significant knowledge on the past.

These discussions are refreshing as they may indicate that ordering practices – when considered as an end in themselves – misconstrue the archaeological process as static and so advocate for categories, classes, and types to be carved out before any serious analysis can begin. It could in fact be argued that in doing so, they merely construct a new closed system, then emic by definition. Buccellati and Kelly-Buccellati propose an alternative without discarding the intuition that ordering archaeological materials is conditional to the inferential and knowledge-production process: they propose that typologies should be treated as arguments. Moreover, the sort of argument they have in mind is to a lesser extent ‘formal-logical’ but instead emphatically ‘dialogical’ in nature, as such argumentative form helps to combat the inherent static-ness of ordering practices the authors criticize, and so discloses a radically dynamic approach to the undertaking of fragment-whole matching. The organicist inclination to preserve ‘the dignity of fragments’ while working towards their resolution in attendant wholes and sub-wholes further gives rise to the idea that such ‘native digital fragments’ must be brought into systematic conversation with one another, acknowledging the involved complexity. To this end, the authors frame ordering work and typo-praxis as a ‘digital discourse’ and ask what the conditions and possibilities for such discourse are and how it can be facilitated. It is here that they put forward the idea that the webpage may provide an ideal epistemic model system to promote the preservation of emplaced archaeological fragments while simultaneously promoting multistranded and multi-context explorations of fragment coherence and articulation. The website enables unique forms of exploration and engagement with data and new arguments escaping the fixity of the analogue-printed which dominates current archaeological practice. Similar experiences were for example made in the context of Gardin’s ‘logicism’, leading to broadly comparable attempts to overcome the analogue with more dynamic, HTML/web-based forms of data presentation, exploration and discussion (7, 8).

As such, Buccellati and Kelly-Buccellati table a range of fresh arguments for re-thinking typology beyond and with text at the same time, to enable ‘dynamic reading’ of fragment-whole relationships in an increasingly digital world. Their proposal comes thereby close to what has been termed ‘deep mapping’ in the context of critical cartographies and other spatially-inclined scholarship in the Anglophone world (9, 10). Deep maps seek to transcend the epistemological limitations of 2D-representations of spatiality on traditional maps and introduce different layers of informational depth and heterogeneity, which, similarly to the living digital webpage proposed by the authors, can be continuously extended and revised and which may also greatly promote multidisciplinary and team-based research endeavours. In the same spirit as the authors’ ‘digital discourse’, deep mapping draws attention to the knowledge potential of bringing together the heterogeneous, the etic and the emic, and to pay more attention to ‘multiplanar’ and ‘multilinear’ relationships as well as the associated relations of relations. This proposal to deploy types and typology in general as dynamic arguments is linked to the ambition to contribute to and work on the narrativization of the archaeological record without tacit (and often unconscious) conceptual pre-subscription, countering typologies that remain largely in the abstract and so have contributed to the creeping anonymity of the past.

 

Bibliography

1. Buccellati, G. and Kelly-Buccellati, M. (2023). The Density of Types and the Dignity of the Fragment. A website approach to archaeological typology, Zenodo, 7743834, ver. 4 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7743834.

2. Pepper, S C. (1972). World hypotheses: a study in evidence, 7. print (Univ. of California Press).

3. Hayden, B. (1984). Are Emic Types Relevant to Archaeology? Ethnohistory 31, 79–92. https://doi.org/10.2307/482057

4. Tostevin, G. B. (2011). An Introduction to the Special Issue: Reduction Sequence, Chaîne Opératoire, and Other Methods: The Epistemologies of Different Approaches to Lithic Analysis. PaleoAnthropology, 293−296. https://www.doi.org/10.4207/PA.2011.ART59

5. Tostevin, G. B. (2013). Seeing lithics: a middle-range theory for testing for cultural transmission in the pleistocene (Oakville, CT: Oxbow Books).

6. Boissinot, P. (2015). Qu’est-ce qu’un fait archéologique? (Éditions EHESS). https://doi.org/10.4000/lectures.19921

7. Gardin, J.-C. and Roux, V. (2004). The Arkeotek Project: a European Network of Knowledge Bases in the Archaeology of Techniques. Archeologia e Calcolatori 15, 25–40.

8. Husi, P. (2022). La céramique médiévale et moderne du bassin de la Loire moyenne, chrono-typologie et transformation des aires culturelles dans la longue durée (6e—17e s.) (FERACF).

9. Bodenhamer, D. J., Corrigan, J. and Harris, T. M. (2015). Deep Maps and Spatial Narratives (Indiana University Press).

10. Gillings, M., Hacigüzeller, P. and Lock, G. R. (2019). Re-mapping archaeology: critical perspectives, alternative mappings (Routledge).

 

The Density of Types and the Dignity of the Fragment. A Website Approach to Archaeological Typology.Giorgio Buccellati and Marilyn Kelly-Buccellati<p>Typology hinges on categorization, and the two main axes of categorization are the roster and the lexicon: the first defines elements from an -emic, and the second from an (e)-tic point of view, i. e., as a closed or an open system, respectivel...Antiquity, Theoretical archaeologyShumon Tobias Hussain2023-03-17 09:11:46 View
17 Dec 2020
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Experimentation preceding innovation in a MIS5 Pre-Still Bay layer from Diepkloof Rock Shelter (South Africa): emerging technologies and symbols

Experimentation as a driving force for innovation in the Pre-Still Bay from Southern Africa

Recommended by based on reviews by Francesco d'Errico, Enza Elena Spinapolice and Kathryn Ranhorn

The article submitted by Guillaume Porraz et al. [1] shed light on the evolutionary changes recorded during the Pre-Still Bay Lynn stratigraphic unit (SU) from Diepkloof (Southern Africa). It promotes a multi-proxy and integrative approach based on a set of innovative behaviors, such as the engraving of geometric forms, silcrete heat- treatment, the use of adhesive, bladelet and bifacial tools production. This approach is not so common in Middle Stone Age (MSA) studies and makes a lot of sense for discussing the mechanisms that have fostered later innovations during the Still Bay and Howiesons Poort periods. The various innovations that emerge synchronously in this layer contrast with earlier innovations which appear as isolated phenomena in the MSA archaeological record. The strong inventiveness documented in Lynn SU is reported to a phase of experimentation for testing new ideas, new behaviors that would have played a crucial role for the emergence of the Still Bay in a context of socio-economic transformation.

The data presented in this article broadens the scope of two previous articles [2-3] based on a more representative record, collected on an area of 3,5 m² opposed to 2 m² previously, and on the first presentation and description of an engraved bone with a rhomboid pattern. Macro- and microscopic analyses together with the analysis of the distribution of the engraved lines argue convincingly for an intentional engraving. This article constitutes a key contribution to the question of HOW emerged modern cultures in Southern Africa, while calling for further research related to sites’ function, environment and local resources to address the ever-debated question of WHY the MSA groups from Southern Africa developed such unprecedented inventiveness. It makes no doubt that this article deserves recommendation by PCI Archaeology.

[1] Porraz, G., Schmidt, P., Bereiziat, G., Brugal, J.Ph., Dayet, L., Igreja, M., Miller, C.E., Viola, C., Tribolo, C., Val, A., Verna, C., Texier, P.J. 2020. Experimentation preceding innovation in a MIS5 Pre-Still Bay layer from Diepkloof Rock Shelter (South Africa): emerging technologies and symbols. 10.32942/osf.io/ch53r

[2] Porraz, G., Texier, P.J., Archer, W., Piboule, M., Rigaud, J.P, Tribolo, C. 2013. Technological successions in the Middle Stone Age sequence of Diepkloof Rock Shelter, Western Cape, South Africa. Journal of Archaeological Science 40, 3376–3400. 10.1016/j.jas.2013.02.012

[3] Porraz, G., Texier, J.P. Miller, C.E., 2014. Le complexe bifacial Still Bay et ses modalités d’émergence à l’abri Diepkloof (Middle Stone Age, Afrique du Sud). In: XXVIIème Congrès Préhistorique de France, Transitions, Ruptures et Continuité en Préhistoire. Mémoires de la Société Préhistorique Française, 155–175.

Experimentation preceding innovation in a MIS5 Pre-Still Bay layer from Diepkloof Rock Shelter (South Africa): emerging technologies and symbolsGuillaume Porraz, John E. Parkington, Patrick Schmidt, Gérald Bereiziat, Jean-Philip Brugal, Laure Dayet, Marina Igreja, Christopher E. Miller, Viola C. Schmid, Chantal Tribolo, Aurore Val, Christine Verna, Pierre-Jean Texier<p>In South Africa, key technologies and symbolic behaviors develop as early as the later Middle Stone Age in MIS5. These innovations arise independently in various places, contexts and forms, until their full expression during the Still Bay and t...Africa, Lithic technology, Middle Palaeolithic, Symbolic behavioursAnne Delagnes2020-08-04 09:13:27 View
04 Oct 2023
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IUENNA – openIng the soUthErn jauNtal as a micro-regioN for future Archaeology: A "para-description"

The IUENNA project: integrating old data and documentation for future archaeology

Recommended by ORCID_LOGO based on reviews by Nina Richards and 3 anonymous reviewers

This recommended paper on the IUENNA project (Hagmann and Reiner 2023) is not a paper in the traditional sense, but it is a reworked version of a project proposal. It is refreshing to read about a project that has just started and see what the aims of the project are. This ties in with several open science ideas and standards (e.g. Brinkman et al. 2023). I am looking forward to see in a few years how the authors managed to reach the aims and goals of the project.

The IUENNA project deals with the legacy data and old excavations on the Hemmaberg and in the Jauntal. Archaeological research in this small, but important region, has taken place for more than a century, revealing material from over 2000 years of human history. The Hemmaberg is well known for its late antique and early medieval structures, such as roads, villas and the various churches. The wider Jauntal reveals archaeological finds and features dating from the Iron Age to the recent past. The authors of the paper show the need to make sure that the documentation and data of these past archaeological studies and projects will be accessible in the future, or in their own words: "Acute action is needed to systematically transition these datasets from physical filing cabinets to a sustainable, networked virtual environment for long-term use" (Hagmann and Reiner 2023: 5).

The papers clearly shows how this initiative fits within larger developments in both Digital Archaeology and the Digital Humanities. In addition, the project is well grounded within Austrian archaeology. While the project ties in with various international standards and initiatives, such as Ariadne (https://ariadne-infrastructure.eu/) and FAIR-data standards (Wilkinson et al. 2016, 2019), it would benefit from the long experience institutes as the ADS (https://archaeologydataservice.ac.uk/) and DANS (see Data Station Archaeology: https://dans.knaw.nl/en/data-stations/archaeology/) have on the storage of archaeological data. I would also like to suggest to have a look at the Dutch SIKB0102 standard (https://www.sikb.nl/datastandaarden/richtlijnen/sikb0102) for the exchange of archaeological data. The documentation is all in Dutch, but we wrote an English paper a few years back that explains the various concepts (Boasson and Visser 2017). However, these are a minor details or improvements compared to what the authors show in their project proposal. The integration of many standards in the project and the use of open software in a well-defined process is recommendable.

The IUENNA project is an ambitious project, which will hopefully lead to better insights, guidelines and workflows on dealing with legacy data or documentation. These lessons will hopefully benefit archaeology as a discipline. This is important, because various (European) countries are dealing with similar problem, since many excavations of the past have never been properly published, digitalized or deposited. In the Netherlands, for example, various projects dealt with publication of legacy excavations in the Odyssee-project (https://www.nwo.nl/onderzoeksprogrammas/odyssee). This has led to the publication of various books and datasets (24) (https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:34359), but there are still many datasets (8) missing from the various projects. In addition, each project followed their own standards in creating digital data, while IUENNA will make an effort to standardize this. There are still more than 1000 Dutch legacy excavations still waiting to be published and made into a modern dataset (Kleijne 2010) and this is probably the case in many other countries. I sincerely hope that a successful end of IUENNA will be an inspiration for other regions and countries for future safekeeping of legacy data.

References

Boasson, W and Visser, RM. 2017 SIKB0102: Synchronizing Excavation Data for Preservation and Re-Use. Studies in Digital Heritage 1(2): 206–224. https://doi.org/10.14434/sdh.v1i2.23262

Brinkman, L, Dijk, E, Jonge, H de, Loorbach, N and Rutten, D. 2023 Open Science: A Practical Guide for Early-Career Researchers https://doi.org/10.5281/zenodo.7716153

Hagmann, D and Reiner, F. 2023 IUENNA – openIng the soUthErn jauNtal as a micro-regioN for future Archaeology: A ‘para-description’. https://doi.org/10.31219/osf.io/5vwg8

Kleijne, JP. 2010. Odysee in de breedte. Verslag van het NWO Odyssee programma, kortlopend onderzoek: ‘Odyssee, een oplossing in de breedte: de 1000 onuitgewerkte sites, die tot een substantiële kennisvermeerdering kunnen leiden, digitaal beschikbaar!’ ‐ ODYK‐09‐13. Den Haag: E‐depot Nederlandse Archeologie (EDNA). https://doi.org/10.17026/dans-z25-g4jw

Wilkinson, MD, Dumontier, M, Aalbersberg, IjJ, Appleton, G, Axton, M, Baak, A, Blomberg, N, Boiten, J-W, da Silva Santos, LB, Bourne, PE, Bouwman, J, Brookes, AJ, Clark, T, Crosas, M, Dillo, I, Dumon, O, Edmunds, S, Evelo, CT, Finkers, R, Gonzalez-Beltran, A, Gray, AJG, Groth, P, Goble, C, Grethe, JS, Heringa, J, ’t Hoen, PAC, Hooft, R, Kuhn, T, Kok, R, Kok, J, Lusher, SJ, Martone, ME, Mons, A, Packer, AL, Persson, B, Rocca-Serra, P, Roos, M, van Schaik, R, Sansone, S-A, Schultes, E, Sengstag, T, Slater, T, Strawn, G, Swertz, MA, Thompson, M, van der Lei, J, van Mulligen, E, Velterop, J, Waagmeester, A, Wittenburg, P, Wolstencroft, K, Zhao, J and Mons, B. 2016 The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data 3(1): 160018. https://doi.org/10.1038/sdata.2016.18

Wilkinson, MD, Dumontier, M, Jan Aalbersberg, I, Appleton, G, Axton, M, Baak, A, Blomberg, N, Boiten, J-W, da Silva Santos, LB, Bourne, PE, Bouwman, J, Brookes, AJ, Clark, T, Crosas, M, Dillo, I, Dumon, O, Edmunds, S, Evelo, CT, Finkers, R, Gonzalez-Beltran, A, Gray, AJG, Groth, P, Goble, C, Grethe, JS, Heringa, J, Hoen, PAC ’t, Hooft, R, Kuhn, T, Kok, R, Kok, J, Lusher, SJ, Martone, ME, Mons, A, Packer, AL, Persson, B, Rocca-Serra, P, Roos, M, van Schaik, R, Sansone, S-A, Schultes, E, Sengstag, T, Slater, T, Strawn, G, Swertz, MA, Thompson, M, van der Lei, J, van Mulligen, E, Jan Velterop, Waagmeester, A, Wittenburg, P, Wolstencroft, K, Zhao, J and Mons, B. 2019 Addendum: The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data 6(1): 6. https://doi.org/10.1038/s41597-019-0009-6

 

IUENNA – openIng the soUthErn jauNtal as a micro-regioN for future Archaeology: A "para-description"Hagmann, Dominik; Reiner, Franziska<p>The Go!Digital 3.0 project IUENNA – an acronym for “openIng the soUthErn jauNtal as a micro-regioN for future Archaeology” – embraces a comprehensive open science methodology. It focuses on the archaeological micro-region of the Jauntal Valley ...Antiquity, Classic, Computational archaeologyRonald Visser2023-04-06 13:36:16 View