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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
02 Sep 2023
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Research workflows, paradata, and information visualisation: feedback on an exploratory integration of issues and practices - MEMORIA IS

Using information visualisation to improve traceability, transmissibility and verifiability in research workflows

Recommended by based on reviews by Adéla Sobotkova and 2 anonymous reviewers

The paper “Research workflows, paradata, and information visualisation: feedback on an exploratory integration of issues and practices - MEMORIA IS” (Dudek & Blaise, 2023) describes a prototype of an information system developed to improve the traceability, transmissibility and verifiability of archaeological research workflows. A key aspect of the work with MEMORIA is to make research documentation and the workflows underpinning the conducted research more approachable and understandable using a series of visual interfaces that allow users of the system to explore archaeological documentation, including metadata describing the data and paradata that describes its underlying processes. The work of Dudek and Blaise address one of the central barriers to reproducibility and transparency of research data and propose a set of both theoretically and practically well-founded tools and methods to solve this major problem. From the reported work on MEMORIA IS, information visualisation and the proposed tools emerge as an interesting and potentially powerful approach for a major push in improving the traceability, transmissibility and verifiability of research data through making research workflows easier to approach and understand.

In comparison to technical work relating to archaeological data management, this paper starts commendably with a careful explication of the conceptual and epistemic underpinnings of the MEMORIA IS both in documentation research, knowledge organisation and information visualisation literature. Rather than being developed on the basis of a set of opaque assumptions, the meticulous description of the MEMORIA IS and its theoretical and technical premises is exemplary in its transparence and richness and has potential for a long-term impact as a part of the body of literature relating to the development of archaeological documentation and documentation tools. While the text is sometimes fairly densely written, it is worth taking the effort to read it through. Another major strength of the paper is that it provides a rich set of examples of the workings of the prototype system that makes it possible to develop a comprehensive understanding of the proposed approaches and assess their validity.

As a whole, this paper and the reported work on MEMORIA IS forms a worthy addition to the literature on and practical work for developing critical infrastructures for data documentation, management and access in archaeology. Beyond archaeology and the specific context of the discussed work discussed this paper has obvious relevance to comparable work in other fields.

References

Dudek, I. and Blaise, J.-Y. (2023) Research workflows, paradata, and information visualisation: feedback on an exploratory integration of issues and practices - MEMORIA IS, Zenodo, 8252923, ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8252923
Research workflows, paradata, and information visualisation: feedback on an exploratory integration of issues and practices - MEMORIA ISDudek Iwona, Blaise Jean-Yves<p>The paper presents an exploratory web information system developed as a reaction to practical and epistemological questions, in the context of a scientific unit studying the architectural heritage (from both historical sciences perspective, and...Computational archaeologyIsto Huvila2023-05-02 12:50:39 View
06 Aug 2023
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A Focus on the Future of our Tiny Piece of the Past: Digital Archiving of a Long-term Multi-participant Regional Project

A meticulous description of archiving research data from a long-running landscape research project

Recommended by based on reviews by Dominik Hagmann and Iwona Dudek

The paper “A Focus on the Future of our Tiny Piece of the Past: Digital Archiving of a Long-term Multi-participant Regional Project” (Madry et al., 2023) describes practices, challenges and opportunities encountered in digital archiving of a landscape research project running in Burgundy, France for more than 45 years. As an unusually long-running multi-disciplinary undertaking working with a large variety of multi-modal digital and non-digital data, the Burgundy project has lived through the development of documentation and archiving technologies from the 1970s until today and faced many of the challenges relating to data management, preservation and migration.

The major strenght of the paper is that it provides a detailed description of the evolution of digital data archiving practices in the project including considerations about why some approaches were tested and abandoned. This differs from much of the earlier literature where it has been more common to describe individual solutions how digital archiving was either planned or was performed at one point of time. A longitudinal description of what was planned, how and why it has worked or failed so far, as described in the paper, provides important insights in the everyday hurdles and ways forward in digital archiving. As a description of a digital archiving initiative, the paper makes a valuable contribution for the data archiving scholarship as a case description of practices and considerations in one research project. For anyone working with data management in a research project either as a researcher or data manager, the text provides useful advice on important practical matters to consider ahead, during and after the project. The main advice the authors are giving, is to plan and act for data preservation from the beginning of the project rather than doing it afterwards. To succeed in this, it is crucial to be knowledgeable of the key concepts of data management—such as “digital data fixity, redundant backups, paradata, metadata, and appropriate keywords” as the authors underline—including their rationale and practical implications. The paper shows also that when and if unexpected issues raise, it is important to be open for different alternatives, explore ways forward, and in general be flexible.

The paper makes also a timely contribution to the discussion started at the session “Archiving information on archaeological practices and work in the digital environment: workflows, paradata and beyond” at the Computer Applications and Quantitative 2023 conference in Amsterdam where it was first presented. It underlines the importance of understanding and communicating the premises and practices of how data was collected (and made) and used in research for successful digital archiving, and the similar pertinence of documenting digital archiving processes to secure the keeping, preservation and effective reuse of digital archives possible.

References

Madry, S., Jansen, G., Murray, S., Jones, E., Willcoxon, L. and Alhashem, E. (2023) A Focus on the Future of our Tiny Piece of the Past: Digital Archiving of a Long-term Multi-participant Regional Project, Zenodo, 7967035, ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7967035

A Focus on the Future of our Tiny Piece of the Past: Digital Archiving of a Long-term Multi-participant Regional ProjectScott Madry, Gregory Jansen, Seth Murray, Elizabeth Jones, Lia Willcoxon, Ebtihal Alhashem<p>This paper will consider the practical realities that have been encountered while seeking to create a usable Digital Archiving system of a long-term and multi-participant research project. &nbsp;The lead author has been involved in archaeologic...Computational archaeology, Environmental archaeology, Landscape archaeologyIsto Huvila2023-05-24 18:46:34 View
05 Jan 2024
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Transforming the CIDOC-CRM model into a megalithic monument property graph

Informative description of a project implementing a CIDOC-CRM based native graph database for representing megalithic information

Recommended by based on reviews by 2 anonymous reviewers

The paper “Transforming the CIDOC-CRM model into a megalithic monument property graph” describes an interesting endeavour of developing and implementing a CIDOC-CRM based knowledge graph using a native graph database (Neo4J) to represent megalithic information (Câmara et al. 2023). While there are earlier examples of using native graph databases and CIDOC-CRM in diverse heritage contexts, the present paper is useful addition to the literature as a detailed description of an implementation in the context of megalithic heritage. The paper provides a demonstration of a working implementation, and guidance for future projects. The described project is also documented to an extent that the paper will open up interesting opportunities to compare the approach to previous and forthcoming implementations. The same applies to the knowledge graph and use of CIDOC-CRM in the project.

Readers interested in comparing available technologies and those who are developing their own knowledge graphs might have benefited of a more detailed description of the work in relation to the current state-of-the-art and what the use of a native graph database in the built-heritage contexts implies in practice for heritage documentation beyond that it is possible and it has potentially meaningful performance-related advantages. While also the reasons to rely on using plain CIDOC-CRM instead of extensions could have been discussed in more detail, the approach demonstrates how the plain CIDOC-CRM provides a good starting point to satisfy many heritage documentation needs.

As a whole, the shortcomings relating to positioning the work to the state-of-the-art and reflecting and discussing design choices do not reduce the value of the paper as a valuable case description for those interested in the use of native graph databases and CIDOC-CRM in heritage documentation in general and the documentation of megalithic heritage in particular.

References

Câmara, A., de Almeida, A. and Oliveira, J. (2023). Transforming the CIDOC-CRM model into a megalithic monument property graph, Zenodo, 7981230, ver. 4 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7981230

Transforming the CIDOC-CRM model into a megalithic monument property graphAriele Câmara, Ana de Almeida, João Oliveira <p>This paper presents a method to store information about megalithic monuments' building components as graph nodes in a knowledge graph (KG). As a case study we analyse the dolmens from the region of Pavia (Portugal). To build the KG, information...Computational archaeologyIsto Huvila2023-05-29 13:46:49 View
20 Mar 2024
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HORAI: An integrated management model for historical information

A novel management model for historical information

Recommended by based on reviews by Leandro Sánchez Zufiaurre and 1 anonymous reviewer

The paper “HORAI: An integrated management model for historical information” presents a novel model for managing historical information. The study draws from an extensive indepth work in historical information management and a multi-disciplinary corpus of research ranging from heritage infrastructure research and practice to information studies and archival management literature. The paper ties into several key debates and discussions in the field showing awareness of the state-of-the-art of data management practice and theory. The authors argue for a new semantic data model HORAI and link it to a four-phase data management lifecycle model. The conceptual work is discussed in relation to three existing information systems partly predating and partly developed from the outset of the HORAI-model.

While the paper shows appreciable understanding of the practical and theoretical state-of-the-art and the model has a lot of potential, in its current form it is still somewhat rough on the edges. Many of the both practical and theoretical threads introduced in the text warrant also more indepth consideration and it will be interesting to follow how the work will proceed in the future. For example, the comparison of the HORAI model and the ISAD(G): General International Standard Archival Description standard in the figure 1 is interesting but would require more elaboration. A slightly more thorough copyediting of the text would have also been helpful to make it more approachable.

As a whole, in spite of the critique, I find both the paper and the model as valuable contributions to the literature and the practice of managing historical information. The paper reports thorough work, provides a lot of food for thought and several interesting lines of inquiry in the future.

References

Del Fresno Bernal, P., Medina Gordo, S. and Travé Allepuz, E. (2024). HORAI: An integrated management model for historical information. CAA 2023, Amsterdam, Netherlands. https://doi.org/10.5281/zenodo.8185510

HORAI: An integrated management model for historical information Pablo del Fresno Bernal, Sonia Medina Gordo and Esther Travé Allepuz<p>The archiving process goes beyond mere data storage, requiring a theoretical, methodological, and conceptual commitment to the sources of information. We present Horai as a semantic-based integration model designed to facilitate the development...Computational archaeology, Spatial analysisIsto Huvila2023-07-26 09:33:58 View
02 May 2024
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ARIADNEplus Visual Media Service 3D configurator: toward full guided publication of high-resolution 3D data

ARIADNEplus Visual Media Service 3D configurator: a new tool for the visual organisation of 3D datasets

Recommended by ORCID_LOGO based on reviews by Sebastian Hageneuer, Vayia Panagiotidis, Erik Champion and Martina Trognitz

The manuscript "ARIADNEplus Visual Media Service 3D configurator: toward full guided publication of high-resolution 3D data​" by Potenziani et al. [1] provides an excellent introduction to the Visual Media Service 3D Configurator.  This is an exciting tool, focused on cultural heritage, that forms part of the Visual Media Service, a web-based platform for uploading a range of complex data sets, including high-resolution images, Reflectance Transformation Imaging images and 3D models and transforming them into an appropriate format for interation and visualisation on the web.  The 3D Configurator Tool provides researchers with a wizard which assist with the presentation of 3D models.

This manuscript provides a history and context for the development of the Visual Media Service and previous related tools such as 3DHOP, Nexus and Relight/OpenLIME.  It also provides detailed information about the functionality of the 3D Configurator, including the Alignment, Material & Light, Navigation, Interface and Annotation steps.  The Discussion section provides information about applications and users of the Visual Media Service, current limitations and planned future developments.

Reviewers Hageneuer, Champion, Trognitz and Panagiotidis all provided important suggestions to the authors which have improved the clarity and scope of this manuscript.  While this manscript does not present a case study using this tool, I recommend it to readers as a detailed and clear introduction to the Visual Media Service 3D configurator which may inspire them to use this for their own research.

References

[1] Potenziani, M., Ponchio, F., Callieri, M., and Cignoni, P. (2024). ARIADNEplus Visual Media Service 3D configurator: toward full guided publication of high-resolution 3D data. Zenodo, 8075050, ver. 5 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.10894515​

ARIADNEplus Visual Media Service 3D configurator: toward full guided publication of high-resolution 3D data Potenziani, Marco; Ponchio, Federico; Callieri, Marco; Cignoni, Paolo<p>The use of digital visual media in everyday work is nowadays a common practice in many different domains, including Cultural Heritage (CH). Because of that, the presence of digital datasets in CH archives and repositories is becoming more and m...Computational archaeologyIan Moffat2023-06-23 17:37:47 View
24 Jun 2021
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The strength of parthood ties. Modelling spatial units and fragmented objects with the TSAR method – Topological Study of Archaeological Refitting

A practical computational approach to stratigraphic analysis using conjoinable material culture.

Recommended by based on reviews by Robert Bischoff, Matthew Peeples and 1 anonymous reviewer

The paper by Plutniak [1] presents a new method that uses refitting to help interpret stratigraphy using the topological distribution of conjoinable material culture. This new method opens up new avenues to the archaeological use of network analysis but also to assess the integrity of interpreted excavation layers. Beyond its evident applicability to standard excavation practice, the paper presents a series of characteristics that exemplify archaeological publication best practices and, as someone more versed in computational than in refitting studies I would like to comment upon.

It was no easy task to find adequate reviewers for this paper as it combines techniques and expertise that are not commonly found together in individual researchers. However, Plutniak, with help from three reviewers, particularly M. Peeples, a leading figure in archaeological applications of network science, makes a considerable effort to be accessible to non-specialist archaeologists. The core Topological Study of Archaeological Refitting (TSAR) method is freely accessible as the R package archeofrag, which is available at the Comprehensive R Archive Network (https://CRAN.R-project.org/package=archeofrag) that can be applied without the need to understand all its mathematical, graph theory and coding aspects. Beside these, an online interface including test data has been provided (https://analytics.huma-num.fr/Sebastien.Plutniak/archeofrag/), which aims to ease access to the method to those archaeologists inexperienced with R. Finally, supplementary material showing how to use the package and evaluating its potential through excellent examples is provided as both pdf and Rmw (Sweave) files. This is an important companion for the paper as it allows a better understanding of the methods presented in the paper and its practical application.

The author shows particular care in testing the potential and capabilities of the method. For example, a function is provided “frag.observer.failure” to test the robustness of the edge count method against the TSAR method, which is able to prove that TSAR can deal well with incomplete information. As a further step in this direction both simulated and real field-acquired data are used to test the method which further proves that archeofrag is not only able to quantitatively assess the mixture of excavated layers but to propose meaningful alternatives, which no doubt will add an increased methodological consistency and thoroughness to previous quantitative approaches to material refitting work, even when dealing with very complex stratigraphies.

All in all, this paper makes an important contribution to core archaeological practice through the use of innovative, reproducible and accessible computational methods. I fully endorse it for the conscious and solid methods it presents but also for its adherence to open publication practices. I hope that it can become of standard use in the reconstruction of excavated stratigraphical layers through conjoinable material culture.

 

[1] Plutniak, S. 2021. The Strength of Parthood Ties. Modelling Spatial Units and Fragmented Objects with the TSAR Method – Topological Study of Archaeological Refitting. OSF Preprints, q2e69, ver. 3 Peer-reviewed and recommended by PCI Archaeology. https://doi.org/10.31219/osf.io/q2e69.

The strength of parthood ties. Modelling spatial units and fragmented objects with the TSAR method – Topological Study of Archaeological RefittingSébastien Plutniak<p>Refitting and conjoinable pieces have long been used in archaeology to assess the consistency of discrete spatial units, such as layers, and to evaluate disturbance and post-depositional processes. The majority of current methods, despite their...Computational archaeology, TaphonomyHector A. Orengo2021-01-14 18:31:01 View
31 Jul 2024
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Palaeoproteomic identification of a whale bone tool from Bronze Age Heiloo, the Netherlands

Prehistoric whaling and tool industry evidenced by advanced proteomic methods

Recommended by based on reviews by 2 anonymous reviewers

Proteomics is an increasingly applied field of study in archaeology. The characterisation of proteins in ancient biomaterials has been used extensively to determine the sex of certain animals (from dental enamel) or to identify species from non-diagnostic bone pieces or fragments of organic materials (glues and residues, for example). Paleoproteomics has been accompanied by methodological developments, in particular to reduce the size of samples affected by destructive analyses and to refine the level of species determination. The article by Joannes Dekker and colleagues (2024) - "Palaeoproteomic identification of a whale bone tool from Bronze Age Heiloo, the Netherlands" - provides a relevant and innovative example, incorporating ZooMS and SPIN techniques as well as the creation of a database of new reference collagens (cetaceans) specific to the site's natural environment (North Sea coast). The interest of this study also lies in the contribution of a use-wear analysis carried out prior to the sampling. This comparison of multidisciplinary data is essential for understanding the links between man and his natural environment and the technical and economic production that is closely linked to it. The tool studied (ca. 1500 BCE) comes from a coastal Bronze Age site in the Netherlands, where the economy was highly diversified, involving the exploitation of wild and domestic animals in both terrestrial and marine environments. The study shows that the bone of a North Atlantic right whale (Eubalaena glacialis) was shaped into a tool that was probably used to process plant fibres. This discovery supports other studies highlighting the intensive and non-opportunistic exploitation of whales in the North Sea since the Pleistocene.

Dekker, J. A. A., Mylopotamitaki, D., Verbaas, A., Sinet-Mathiot, V., Presslee, S., McCarthy, M. L., Olsen, M. T., Olsen, J. V., van den Hurk, Y., Brattinga, J. & Welker, F. (2024) Palaeoproteomic identification of a whale bone tool from Bronze Age Heiloo, the Netherlands. BioRxiv, ver. 2 peer-reviewed and recommended by Peer Community in Archaeology.  https://doi.org/10.1101/2024.04.15.589626

Palaeoproteomic identification of a whale bone tool from Bronze Age Heiloo, the NetherlandsJoannes A. A. Dekker, Dorothea Mylopotamitaki, Annemieke Verbaas, Virginie Sinet-Mathiot, Samantha Presslee, Morgan L. McCarthy, Morten T. Olsen, Jesper V. Olsen, Youri van den Hurk, Joris Brattinga, Frido Welker<p>Identification of the taxonomic origin of bone tools is an important, but often complicated, component of studying past societies. The species used for bone tool production provide insight into what species were exploited, potentially how, and ...Bioarchaeology, Europe, Osseous industry, Raw materialsGwenaëlle GoudeAnonymous, Anonymous2024-04-20 23:30:47 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
20 Jun 2020
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Investigating relationships between technological variability and ecology in the Middle Gravettian (ca. 32-28 ka cal. BP) in France.

Understanding Palaeolithic adaptations through niche modelling - the case of the French Middle Gravettian

Recommended by based on reviews by Andreas Maier and Joao Marreiros

The paper entitled “Investigating relationships between technological variability and ecology in the Middle Gravettian (ca. 32-28 ky cal. BP) in France” [1] submitted by A. Vignoles and colleagues offers a robust and interesting new analysis of the niche differences between the Rayssian and Noaillian facies of the Middle Gravettian in France.

Understanding technological variability in the Palaeolithic is a long-standing challenge. Previous debates have vacillated between strong, quasi-ethnic culture-historical interpretations rooted in the traditional European school and extreme functional stances that would see artefact forms and their frequencies with assemblages conditioned by site function. While both positions have their merits, many empirical and conceptual caveats haunt them equally [see 2]. In this new study Vignoles and colleagues, so-called eco-cultural niche modelling is applied in an attempt to explore whether, and if so, which environmental background factors may have conditioned the emergence and persistence of two sub-cultural categories (facies) within the Middle Gravettian: the Rayssian and the Noaillian. These are are defined through, respectively, a specific knapping method and the presence of a specific burin type, and the occurrence of these seems divided by the Garonne River. Eco-cultural niche modelling has emerged as an archaeological application of distribution models widely employed in ecology, including palaeoecology, to understand organismal niche envelopes [3]. They constitute powerful tools for using the spatial and chronological information inherent in the archaeological record to up-scale interpretations of human-environment relations beyond individual site stratigraphies or dating series. Another important feature of such models is that their performance can, as Vignoles et al. also show, be formally evaluated and replicated. Following on from earlier applications of such techniques [e.g. 4], the authors here present an interesting study that uses very specific archaeological indicators – namely the Raysse method and the Noaillian burin – as defining features for the units (communities, traditions) whose adaptations they investigate. While broad tool types have previously been used as cultural taxonomic indicators in niche modelling studies [5], the present study is ambitious in its attempt to understand variability at a relatively small spatial scale. This mirrors equally interesting attempts of doing so in later prehistoric contexts [6].

Applications of niche modelling that use analytical units defined through archaeological characteristics (technology, typology) are opening up exciting new opportunities for pinning down precisely which environmental or climatic features these cultural components reference, if any. The study by Vignoles et al. makes a good case. At the same time, this approach also acutely raises questions of cultural taxonomy, of how we define our units of analysis and what they might mean [7]. It remains unclear to whether we can define such units on the basis of very different technological traits if the aim is to then use them as taxonomically equivalent in subsequent analyses. There is also a risk that these facies become reified as traditions of sub-cultures – then often further equated with specific people – through an overly normative view of their constituent technological elements. In addition, studies of adaptation in principle need to be conscious of the so-called ‘Galton’s Problem’, where the historical relatedness of the analytical units in question need to be taken into account in seeking salient correlations between cultural and environmental features [8]. In pushing forward eco-cultural niche modelling, the study by Vignoles et al. thus takes us some way forward in understanding the potentially adaptive variability within the Gravettian; future work should consider more strongly the specific historical relatedness amongst the cultural taxa under study and follow more theory-driven definition thereof. Such definition would also allow the post-analysis interpretations of eco-cultural niche modelling to be more explicit. Without doubt, the Gravettian as a whole – including, for instance, phenomena such as the Maisierian [9] – would benefit from additional and extended applications of this method. Similarly, other periods of the Palaeolithic also characterized by such variability (e.g. the Magdalenian and Final Palaeolithic) offer additional cases moving forward.

Bibliography

[1] Vignoles, A. et al. (2020). Investigating relationships between technological variability and ecology in 1 the Middle Gravettian (ca. 32-28 ky cal. BP) in France. PCI Archaeology. 10.31219/osf.io/ud3hj

[2] Dibble, H.L., Holdaway, S.J., Lin, S.C., Braun, D.R., Douglass, M.J., Iovita, R., McPherron, S.P., Olszewski, D.I., Sandgathe, D., 2017. Major Fallacies Surrounding Stone Artifacts and Assemblages. Journal of Archaeological Method and Theory 24, 813–851. 10.1007/s10816-016-9297-8

[3] Svenning, J.-C., Fløjgaard, C., Marske, K.A., Nógues-Bravo, D., Normand, S., 2011. Applications of species distribution modeling to paleobiology. Quaternary Science Reviews 30, 2930–2947. 10.1016/j.quascirev.2011.06.012

[4] Banks, W.E., d’Errico, F., Dibble, H.L., Krishtalka, L., West, D., Olszewski, D.I., Townsend Petersen, A., Anderson, D.G., Gillam, J.C., Montet-White, A., Crucifix, M., Marean, C.W., Sánchez-Goñi, M.F., Wolfarth, B., Vanhaeren, M., 2006. Eco-Cultural Niche Modeling: New Tools for Reconstructing the Geography and Ecology of Past Human Populations. PaleoAnthropology 2006, 68–83.

[5] Banks, W.E., Zilhão, J., d’Errico, F., Kageyama, M., Sima, A., Ronchitelli, A., 2009. Investigating links between ecology and bifacial tool types in Western Europe during the Last Glacial Maximum. Journal of Archaeological Science 36, 2853–2867. 10.1016/j.jas.2009.09.014

[6] Whitford, B.R., 2019. Characterizing the cultural evolutionary process from eco-cultural niche models: niche construction during the Neolithic of the Struma River Valley (c. 6200–4900 BC). Archaeological and Anthropological Sciences 11, 2181–2200. 10.1007/s12520-018-0667-x

[7] Reynolds, N., Riede, F., 2019. House of cards: cultural taxonomy and the study of the European Upper Palaeolithic. Antiquity 93, 1350–1358. 10.15184/aqy.2019.49

[8] Mace, R., Pagel, M.D., 1994. The Comparative Method in Anthropology. Current Anthropology 35, 549–564. 10.1086/204317

[9] Pesesse, D., 2017. Is it still appropriate to talk about the Gravettian? Data from lithic industries in Western Europe. Quartär 64, 107–128. 10.7485/QU64_5

Investigating relationships between technological variability and ecology in the Middle Gravettian (ca. 32-28 ka cal. BP) in France.Anaïs Vignoles, William E. Banks, Laurent Klaric, Masa Kageyama, Marlon E. Cobos, Daniel Romero-Alvarez<p>The French Middle Gravettian represents an interesting case study for attempting to identify mechanisms behind the typo-technological variability observed in the archaeological record. Associated with the relatively cold and dry environments of...Europe, Lithic technology, Paleoenvironment, Peopling, Upper PalaeolithicFelix Riede2020-03-23 12:16:20 View