The community of archaeologists, bioanthropologist and paleontologists relying on tools use-wear and dental microwear has grown in the recent years, mainly driven by the spread of confocal microscopes in the laboratories. If the diversity of microscopes is quite high, the main software used for 3D surface texture data analysis are mostly different versions of the same Mountains Map core. In addition to this software, since the beginning of 3D surface texture analysis in dental microwear, surface sensitive fractal analysis (SSFA) initially developed for industrial research (Brown & Savary, 1991) have been performed in our disciplines with the Sfrax/Toothfrax software for two decades (Ungar et al., 2003). This software being discontinued, these calculations have been integrated to the new versions of Mountains Map, with multi-core computing, full integration in the software and an update of the calculation itself.

New research based on these standard parameters of surface texture analysis will be, from now on, mainly calculated with this new add-on of Mountains Map, and will be directly compared with the important literature based on the previous software. The question addressed by Calandra et al. (2022), gathering several prominent researchers in this domain including the Mountains Map developer F. Blateyron, is key for the future research: can we directly compare SSFA results from both software?

Thanks to a Bayesian approach to this question, and comparing results calculated with both software on three different datasets (two on dental microwear, one on lithic raw materials), the authors show that the two software gives statistically different results for all surface texture parameters tested in the paper. Nevertheless, applying the new calculation to the datasets, they also show that the results published in original studies with these datasets would have been similar. Authors also claim that in the future, researchers will need to re-calculate the fractal parameters of previously published 3D surfaces and cannot simply integrate ancient and new data together.

We also want to emphasize the openness of the work published here. All datasets have been published online and will be probably very useful for future methodological works. Authors also published their code for statistical comparison of datasets, and proposed a fully reproducible article that allowed the reviewers to check the content of the paper, which can also make this article of high interest for student training.

This article is therefore a very important methodological work for the community, as noted by all three reviewers. It will certainly support the current transition between the two software packages and it is necessary that all surface texture specialists take these results and the recommendation of authors into account: calculate again data from ancient measurements, and share the 3D surface measurements on open access repositories to secure their access in the future.

References

Brown CA, and Savary G (1991) Describing ground surface texture using contact profilometry and fractal analysis. Wear, 141, 211–226. https://doi.org/10.1016/0043-1648(91)90269-Z

Calandra I, Bob K, Merceron G, Blateyron F, Hildebrandt A, Schulz-Kornas E, Souron A, and Winkler DE (2022) Surface texture analysis in Toothfrax and MountainsMap® SSFA module: Different software packages, different results? Zenodo, 7219877, ver. 4 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7219877

Ungar PS, Brown CA, Bergstrom TS, and Walker A (2003) Quantification of dental microwear by tandem scanning confocal microscopy and scale-sensitive fractal analyses. Scanning: The Journal of Scanning Microscopies, 25, 185–193. https://doi.org/10.1002/sca.4950250405

​​This paper [1] covers an interesting topic in that it presents through ethnography an insight into a traditional method of food production which is gradually declining in use. In addition to preserving traditional knowledge, the ethnographic study of grinding stones has the potential for showing how similar tools may have been used by people in the past, particularly from the same geographic region.

[1] Thongdok Norbu J., Nimasow Gibji, Nimasow Oyi D. (2021) Ran-thok and Ling-chhom: indigenous grinding stones of Shertukpen tribes of Arunachal Pradesh, India. Zenodo, 5118675, ver. 4 peer-reviewed and recommended by PCI Archaeo. doi: https://doi.org/10.5281/zenodo.5118675

The paper entitled “Platforms of Palaeolithic knappers reveal complex linguistic abilities” [1] submitted by C. Gaucherel and C. Noûs represents an interesting reflection about the possibilities to detect the human cognitive abilities in relation to the lithic production.

The definition and the study of human cognitive abilities during the Lower Palaeolithic it has always been a complex field of investigation. The relation between the technical skills (lithic production) and the emergence of the linguistic abilities is not easy to investigate due to the difficulty of finding objective data to refer to. The proposition, made by C. Gaucherel and C. Noûs, of a formal grammar of knapping as a method to study the syntactical organisation of the reduction sequences, constitute a new and theoretical useful approach.

In order to effectively and precisely define the gestures linked to a specific reduction sequence, for example that of the handaxes shaping, a very large number of variables should be taken into consideration (morphology and quality of the raw material, experience of the knapper, context, percussion technique, forecast of use of the handaxe, etc.). But since a simplification, that brings more elements than the classic one [2,3] is needed, the “action grammar approach” can be a good instrument to detect the common element in a shaping reduction sequence. Furthermore, one of the advantages of the proposed methodology lies in the fact that the definition of the different STs (Stone Technology) can be done according to the technological specific characteristics to be studied and to the type of instrument produced.

The deconstruction of knapping sequences could help to detect the degree of complexity of the different steps of the reduction sequences also thanks to the identification of the sub-actions types. The increasing/decreasing of complexity is a very complicate concept in lithic technology. Since at the base of the lithic production there are two basic concepts (angle between the striking platform and the debitage surface - convexity of the debitage/façonnage surface) which are simply declined in an increasingly complex way, it is not easy to define uniquely in what exactly consists the increase in complexity. The approach proposed in the paper “Platforms of Palaeolithic knappers reveal complex linguistic abilities” can help to have new evidences, according to the identification of the required cognitive abilities.

The proposed example of formal grammar still needs to be confirmed on archaeological collections, but it is probable that a practical application will allow to further develop the methodology and possibly to highlight additional possibilities of the approach.

Bibliography

[1] Gaucherel, C. and Noûs C. (2020). Platforms of Palaeolithic knappers reveal complex linguistic abilities. Paleorxiv, wn5za, ver. 6 peer-reviewed and recommended by PCI Archaeology. doi: 10.31233/osf.io/wn5za
[2] Inizian, M. L., Reduron, M., Roche, H. and Tixier, J. (1995). Technologie de la pierre taillée. Préhistoire de la Pierre Taillée 4, Cercle de Recherches et d'Etudes Préhistoriques d'Antibes, Meudon.
[3] Tixier, J., Inizian, M. L. and Roche, H. (1980). Terminologie et technologie. Préhistoire de la pierre taillée 1, Cercle de Recherches et d'Etudes Préhistoriques d'Antibes, Meudon.