The manuscript "The management of symbolic raw materials in the Late Upper Paleolithic of South-Western France: a shell ornaments perspective" by Solange Rigaud and colleagues (Rigaud et al. 2022) is a perfect demonstration that appropriate scientific methodologies can be used effectively in order to enhance the historical value of findings from “old” collections, despite the lack of secure stratigraphic and contextual data. The shell assemblage (n = 377) investigated here (from Rochereil, Dordogne) had been excavated during the first half of the 20th century (Jude 1960) and reported in 1993 (Taborin 1993), but only this recent analysis revealed that it was composed of largely unmodified mollusc shells, most of allochthonous origin. Rigaud et al. interpret this finding as the raw materials used to produce personal ornaments. This is especially significant, because the focus of research has been on the manufacture, use and exchange of personal ornaments in prehistory, much less so on the procurement of the raw materials. As such, the manuscript adds substantially to the growing literature on Magdalenian social networks.

The authors carried out detailed taxonomic analysis based on morphological and morphometric characteristics and identified at least nine different species, including Dentalium sp., Ocenebra erinaceus, Tritia reticulata and T. gibbosula, as well as some bivalve specimens (Mytilus, Glycymeris, Spondylus, Pecten). Most of the species are commonly found in personal ornament assemblages from the Magdalenian, reflecting intentional selection (also shown by the size sorting of some of the taxa), and cultural continuity. However, microscopic examinations revealed securely-identified anthropogenic modifications on a very limited number of specimens: one Glycymeris valve (used as an ochre container), one Cardiidae valve (presence of a groove), one perforated Tritia gibbosula and two perforated Tritia reticulata bearing striations. The authors interpret this combination of anthropogenic vs natural “signals” as signifying that the assemblage represents raw material selected and stored for further processing. 

Assessing the provenance and age of the shells is therefore paramount: the shells found at Rochereil belong to species that can be found on both the Atlantic and Mediterranean coasts. Assuming that molluscan taxa distribution in the past is comparable to that for the present day, this implies the exploitation of two catchment areas and long-distance transportation to the site: taking sea-level changes into account, during the Magdalenian the Mediterranean used to lie at a distance of 350 km from Rochereil, and the Atlantic was not significantly closer (~200 km). Importantly, exploitation of fossil shells cannot be discounted on the basis of the data presented here; direct dating of some of the specimens (e.g. by radiocarbon, or amino acid racemisation geochronology) would be beneficial to clarify this issue and in general to improve chronological control on the accumulation of shells. Nonetheless, the authors argue that the closest fossil deposits also lie more than 200 km away from the site, thus the material is allochthonous in origin.

In synthesis, the Rochereil assemblage represents an important step towards a better understanding of the procurement chain and of the production of ornaments during the European Upper Palaeolithic. 

References

Jude, P. E. (1960). La grotte de Rocherreil: station magdalénienne et azilienne, Masson.

Rigaud, S., O'Hara, J., Charles, L., Man-Estier, E. and Paillet, P. (2022) The management of symbolic raw materials in the Late Upper Paleolithic of South-Western France: a shell ornaments perspective. SocArXiv, z7pqg, ver. 4 peer-reviewed and recommended by Peer community in Archaeology. https://doi.org/10.31235/osf.io/z7pqg

Taborin, Y. (1993). La parure en coquillage au Paléolithique, CNRS éditions.

This paper [1] presents an innovative approach to address the prevalent challenge of unbalanced datasets in coin type recognition, shifting the focus from coin class type recognition to coin mint recognition. Despite this shift, the issue of unbalanced data persists. To mitigate this, the authors introduce a method to split larger classes into smaller ones, integrating them into an 'additional class layer'.

Three distinct machine learning (ML) methodologies were employed to identify new possible classes, with one approach utilising unsupervised clustering alongside manual intervention, while the others leverage object detection, and Natural Language Processing (NLP) techniques. However, despite these efforts, overfitting remained a persistent issue, prompting the authors to explore alternative methods such as dataset improvement and Generative Adversarial Networks (GANs).

The paper contributes significantly to the intersection of ML techniques and archaeology, particularly in addressing overfitting challenges. Furthermore, the authors' candid acknowledgment of the limitations of their approaches serves as a valuable resource for researchers encountering similar obstacles.

This study stems from the D4N4 project, aimed at developing a machine learning-based coin recognition model for the extensive "Corpus Nummorum" dataset, comprising over 19,600 coin types and 49,000 coins from various ancient landscapes. Despite encountering challenges with overfitting due to the dataset's imbalance, the authors' exploration of multiple methodologies and transparent documentation of their limitations enriches the academic discourse and provides a foundation for future research in this field.

Reference

[1] Gampe, S. and Tolle, K. (2024). Creating an Additional Class Layer with Machine Learning to counter Overfitting in an Unbalanced Ancient Coin Dataset. Zenodo, 8298077, ver. 4 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8298077

The archaeological record comes in many forms. Some, such as buried sites from volcanic eruptions or other abrupt sedimentary phenomena are perhaps the only ones that leave relatively clean snapshots of moments in the past. And even in those cases time is compressed. Much, if not all other archaeological record is a messy affair. Things, whatever those things may be, artifacts or construction works (i.e., features), moved, modified, destroyed, warped and in a myriad of ways modified from their behavioral contexts. Do we at some point say the record is worthless? Not worth the effort or continuing investigation. Perhaps sometimes this may be justified, but as Daffara and colleagues show, heavily impacted archaeological remains can give us clues and important information about the past. Thoughtful and careful prehistorians can make significant contributions from what appear to be poor archaeological records. 

            In the case of Daffara and colleagues, a number of important theoretical cross-sections can be recognized. For a long time surface archaeology was thought of simply as a way of getting a preliminary peak at the subsurface. From some of the earliest professional archaeologists (e.g., Kidder 1924, 1931; Nelson 1916) to the New Archaeologists of the 1960s, the link between the surface and subsurface was only improved in precision and systematization (Binford et al. 1970). However, at Hatchery West Binford and colleagues not only showed that surface material can be used more reliably to get at the subsurface, but that substantive behavioral inferences can be made with the archaeological record visible on the surface.

            Much more important are the behavioral implications drawn from surface material. I am not sure we can cite the first attempts at interpreting prehistory from the surface manifestations of the archaeological record, but a flurry of such approaches proliferated in the 1970s and beyond (Dunnell and Dancey 1983; Ebert 1992; Foley 1981).  Off-site archaeology, non-site archaeology, later morphing into landscape archaeology all deal strictly with surface archaeological record to aid in understanding the past. With the current paper, Daffara and colleagues (2024) are clearly in this camp. Although still not widely accepted, it is clear that some behaviors (parts of systems) can only be approached from surface archaeological record. It is very unlikely that a future archaeologist will be able to excavate an entire human social/cultural system; people moving from season to season, creating multiple long and short term camps, travelling, procuring resources, etc. To excavate an entire system one would need to excavate 20,000 km2 or some similarly impossible task. Even if it was physically possible to excavate such an enormous area, it is very likely that some of contextual elements of any such system will be surface manifestations. 

Without belaboring the point, surface archaeological record yields data like any other archaeological record. We must contextual the archaeological artifacts or features weather they come from surface or below. Daffara and colleagues show us that we can learn about deep prehistory of northern Italy, with collections that were unsystematically collected, biased by agricultural as well as other land deformations agents. They carefully describe the regional prehistory as we know it, in particular specific well documented sites and assemblages as a means of applying such knowledge to less well controlled or uncontrolled collections.

References

Binford, L., Binford, R. S. R., Whallon, R. and Hardin, M. A. (1970). Archaeology of Hatchery West. Memoirs of the Society for American Archaeology, No. 24, Washington D.C.

Daffara, S., Giraudi, C., Berruti, G. L. F., Caracausi, S. and Garanzini, F. (2024). First evidence of a Palaeolithic frequentation of the Po plain in Piedmont: the case of Trino (north-western Italy), OSF Preprints, pz4uf, ver. 6 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.31219/osf.io/pz4uf

Dunnell, R. C. and Dancey, W. S. (1983). The siteless survey: a regional scale data collection strategy. In Advances in Archaeological Method and Theory, vol. 6, edited by Michael B. Schiffer, pp. 267-287. Academic Press, New York.

Ebert, J. I. (1992). Distributional Archaeology. University of New Mexico Press, Albuquerque.

Foley, R. A. (1981). Off site archaeology and human adaptation in eastern Africa: An analysis of regional artefact density in the Amboseli, Southern Kenya. British Archaeological Reports International Series 97. Cambridge Monographs in African Archaeology 3. Oxford England.

Kidder, A. V. (1924). An Introduction to the Study of Southwestern Archaeology, With a Preliminary Account of the Excavations at Pecos. Papers of the Southwestern Expedition, Phillips Academy, no. 1. New Haven, Connecticut.

Kidder, A. V. (1931). The Pottery of Pecos, vol. 1. Papers of the Southwestern Expedition, Phillips Academy. New Haven, Connecticut.

Nelson, N. (1916). Chronology of the Tano Ruins, New Mexico. American Anthropologist 18(2):159-180.

Paleolithic archaeologists habitually measure 3-coordinate data for artifacts in their excavations. This was first done manually, and in the last three decades it is usually performed by a total station and associated hardware. While the field recording procedure is quite straightforward, visualizing and analyzing the data are not, often requiring specialized proprietary software or coding expertise. Here, Royer and colleagues (2023) present the SEAHORS application, an elegant solution for the post-excavation analysis of artifact coordinate data that seems to be instantly useful for numerous archaeologists. SEAHORS allows one to import and organize field data (Cartesian coordinates and point description), which often comes in a variety of formats, and to create various density and distribution plots. It is specifically adapted to the needs of archaeologists, is free and accessible, and much simpler to use than many commercial programs. The authors further demonstrate the use of the application in the post-excavation analysis of the Cassenade Paleolithic site (see also Discamps et al., 2019). 

While in no way detracting from my appreciation of Royer et al.’s (2023) work, I would like to play the devil’s advocate by asking whether, in the majority of cases, field recording of artifacts in three coordinates is warranted. Royer et al. (2023) regard piece plotting as “…indispensable to propose reliable spatial planimetrical and stratigraphical interpretations” but this assertion does not hold in all (or most) cases, where careful stratigraphic excavation employing thin volumetric units would do just as well.

Moreover, piece-plotting has some serious drawbacks. The recording often slows excavations considerably, beyond what is needed for carefully exposing and documenting the artifacts in their contexts, resulting in smaller horizontal and vertical exposures (e.g., Gilead, 2002). This typically hinders a fuller stratigraphic and contextual understanding of the excavated levels and features. Even worse, the method almost always creates a biased sample of “coordinated artifacts”, in which the most important items for understanding spatial patterns and site-formation processes – the small ones – are underrepresented. Some projects run the danger of treating the coordinated artifacts as bearing more significance than the sieve-recovered items, preferentially studying the former with no real justification. Finally, the coordinated items often go unassigned to a volumetric unit, effectively disconnecting them from other types of data found in the same depositional contexts.  

The advantages of piece-plotting may, in some cases, offset the disadvantages. But what I find missing in the general discourse (certainly not in the recommended preprint) is the “theory” behind the seemingly technical act of 3-coordinate recording (Yeshurun, 2022). Being in effect a form of sampling, this practice needs a rethink about where and how to be applied; what depositional contexts justify it, and what the goals are. These questions should determine if all “visible” artifacts are plotted, or just an explicitly defined sample of them (e.g., elongated items above a certain length threshold, which should be more reliable for fabric analysis), or whether the circumstances do not actually justify it. In the latter case, researchers sometimes opt for using “virtual coordinates” within in each spatial unit (typically 0.5x0.5 m), essentially replicating the data that is generated by “real” coordinates and integrating the sieve-recovered items as well. In either case, Royer et al.’s (2023) solution for plotting and visualizing labeled points within intra-site space would indeed be an important addition to the archaeologists’ tool kits.

References cited 

Discamps, E., Bachellerie, F., Baillet, M. and Sitzia, L. (2019). The use of spatial taphonomy for interpreting Pleistocene palimpsests: an interdisciplinary approach to the Châtelperronian and carnivore occupations at Cassenade (Dordogne, France). Paleoanthropology 2019, 362–388. https://doi.org/10.4207/PA.2019.ART136

Gilead, I. (2002). Too many notes? Virtual recording of artifacts provenance. In: Niccolucci, F. (Ed.). Virtual Archaeology: Proceedings of the VAST Euroconference, Arezzo 24–25 November 2000. BAR International Series 1075, Archaeopress, Oxford, pp. 41–44.

Royer, A., Discamps, E., Plutniak, S. and Thomas, M. (2023). SEAHORS: Spatial Exploration of ArcHaeological Objects in R Shiny Zenodo, 7957154, ver. 2 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7929462

Yeshurun, R. (2022). Intra-site analysis of repeatedly occupied camps: Sacrificing “resolution” to get the story. In: Clark A.E., Gingerich J.A.M. (Eds.). Intrasite Spatial Analysis of Mobile and Semisedentary Peoples: Analytical Approaches to Reconstructing Occupation History. University of Utah Press, pp. 27–35. 

Bischoff (2023) is a significant contribution to the growing field of geometric morphometric analysis in stone tool analysis. The subject is projectile points from the southwestern United States. Projectile point typologies or systematics remain an important part of North American archaeology, and in fact these typologies continue to be used primarily as cultural-historical markers. This article looks at projectile point types using a 2D image geometric morphometric analysis as a way of both improving on projectile point types but also testing if these types are in fact based in measurable reality. A total of 164 point outlines are analyzed using Elliptical Fourier, semilandmark and landmark analyses. The author also uses a network analysis to look at possible relationships between projectile point morphologies in space. This is a clever way of working around the predefined distributions of projectile point types, some of which are over 100 years old. Because of the dynamic nature of stone tools in terms of their use, reworking and reuse, this article can also provide solutions for studying the dynamic nature of stone tools. This article therefore also has a wide applicability to other stone tool analyses.

Reference

Bischoff, R. J. (2023) Geometric Morphometric Analysis of Projectile Points from the Southwest United States, SocArXiv, a6wjc, ver. 8 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.31235/osf.io/a6wjc