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

Establishing the precise location of ancient cities constitutes a challenging task that requires the implementation of multi-disciplinary approaches. In his manuscript entitled “Raphana of the Decapolis and its successor Arpha: The search of an eminent Greco-Roman city”, Kleb (2022) proposes a convincing argument building on in-depth research of classical literary sources, literature review of explorer accounts and scientific publications from the 19th and 20th century as well as analysis of old and new maps, aerial photographs, and satellite images. This research report clearly emphasizes the importance of undertaking systematic interdisciplinary work on the topic to mitigate the uncertainties associated with the identification of Raphana, the Decapolis city first mentioned by Pliny the Elder.

The Decapolis refers to a group of ten cities of Hellenistic traditions located on the eastern borders of the Roman Empire. This group of cities plays an important role in research that aims to contextualize the Judaean and Galilean history and to investigate urban centers in which different local and Greco-Roman influences met (Lichtenberger, 2021). While the location of most of the Decapolis cities is known and is (or was) subjected to systematic archaeological investigations (e.g., Eisenberg and Kowalewska, 2022; Makhadmeh et al., 2020; Shiyab et al., 2019), the location of others remain speculative. This is the case of Raphana for which the precise location remains difficult to establish owing in part to numerous name changes, limited information on the city structure, architecture, and size, etc.

The research presented by Kleb (2022) has some merits, which is emphasized here, although the report is presented in an unusual format compared to traditional scientific articles, i.e., introduction, research background, methodology, results, and discussion. First, the extensive review of classical works allows the reader to gain a historical perspective on the change of names from Raepta/Raphana to Arpha/Arefa. The author argues these different names likely refer to a single location. Second, the author combs through an impressive literature from the 19th and 20th century and emphasize how some assumptions by explorers who visited the region were introduced in the scientific literature and remained unchallenged. Finally, the author gathers a remarkable quantity of old and new maps of the Golan, el-Ledja and Hauran regions and compare them with multiple lines of evidence to hypothesize that the location of Raphana may lie near Ar-Rafi’ah, also known as Bir Qassab, in the Ard el Fanah plain, a conclusion that now requires to be tested through fieldwork investigations.

References

Kleb, J. (2022) Raphana of the Decapolis and its successor Arpha - The search for an eminent Greco-Roman City. Figshare, 20550021, ver. 4 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.6084/m9.figshare.20550021

Eisenberg, M. and Kowalewska, A. (2022). Funerary podia of Hippos of the Decapolis and the phenomenon in the Roman world. J. Roman Archaeol. 35, 107–138. https://doi.org/10.1017/S1047759421000465

Lichtenberger, A. (2021). The Decapolis, in: A Companion to the Hellenistic and Roman Near East. John Wiley & Sons, Ltd, pp. 213–222. https://doi.org/10.1002/9781119037354.ch18

Makhadmeh, A., Al-Badarneh, M., Rawashdeh, A. and Al-Shorman, A. (2020). Evaluating the carrying capacity at the archaeological site of Jerash (Gerasa) using mathematical GIS modeling. Egypt. J. Remote Sens. Space Sci. 23, 159–165. https://doi.org/10.1016/j.ejrs.2018.09.002

Shiyab, A., Al-Shorman, A., Turshan, N., Tarboush, M., Alawneh, F. and Rahabneh, A. (2019). Investigation of late Roman pottery from Gadara of the Decapolis, Jordan using multi-methodic approach. J. Archaeol. Sci. Rep. 25, 100–115. https://doi.org/10.1016/j.jasrep.2019.04.003

The paper by Brown & Lewis [1] presents an approach to measure seasonal mobility and subsistence practices. In order to do so, the paper proposes a Bayesian mixture model to estimate the annual distribution of shellfish harvesting activity. Following the recommendations of the two reviewers, the paper presents a clear and innovative method to assess seasonal mobility for prehistoric groups, although it could benefit from additional references regarding isotopic literature.

While the adequacy of isotope analysis for estimating mobility patterns in Archaeology has been extensively proven by now, work on specific seasonal mobility is not that much abundant. However, this is a key issue, since seasonal mobility is one of the main social components defining the differences between groups both considering farming vs hunting and gathering or even among hunter-gatherer groups themselves. In this regard, the paper brings a valuable methodological resources that can be used for further research in this issue.

One of its greatest values is the fact that it can quantify the uncertainty present in previous isotope studies in seasonal mobility. As stated by the authors, the model can still undergo several optimisation aspects, but as it stands, it is already providing a valuable asset regarding the quantification of uncertainy in the isotopic studies of seasonal mobility.

Reference

[1] Brown, J. and Lewis, G. (2024). Inferring shellfishing seasonality from the isotopic composition of biogenic carbonate: A Bayesian approach. Zenodo, 7949547, ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7949547

The construction of 3D realities is deeply embedded in archaeological practices. From sites to artifacts, archaeology has dedicated itself to creating digital copies for the most varied purposes. The paper “Visual encoding of a 3D virtual reconstruction's 3 scientific justification: feedback from a proof-of-concept research” (Jean-Yves et al 2024) represents an advance, in the sense that it does not just deal with a three-dimensional theory for archaeological practice, but rather offers proposals regarding the epistemic component, how it is possible to represent knowledge through the workflow of 3D virtual reconstructions themselves. The authors aim to unite three main axes - knowledge modeling, visual encoding and 3D content reuse - (Jean-Yves et al 2024: 2), which, for all intents and purposes, form the basis of this article. With regard to the first aspect, this work questions how it is possible to transmit the knowledge we want to a 3D model and how we can optimize this epistemic component. A methodology based on plausibility criteria is offered, which, for the archaeological field, offers relevant space for reflection. Given our inability to fully understand the object or site that is the subject of the 3D representation, whether in space or time, building a method based on probabilistic categories is probably one of the most realistic approaches to the realities of the past.

Thus, establishing a plausibility criterion allows the user to question the knowledge that is transmitted through the representation, and can corroborate or refute it in future situations. This is because the role of reusing these models is of great interest to the authors, a perfectly justifiable sentiment, as it encourages a critical view of scientific practices. Visual encoding is, in terms of its conjunction with knowledge practices, a key element. The notion of simplicity under Maeda's (2006) design principles not only represents a way of thinking that favors operability, but also a user-friendly design in the prototype that the authors have created. This is also visible when it comes to the reuse of parts of the models, in a chronological logic: adapting the models based on architectural elements that can be removed or molded is a testament to intelligent design, whereby instead of redoing models in their entirety, they are partially used for other purposes.

All these factors come together in the final prototype, a web application that combines relational databases (RDBMS) with a data mapper (MassiveJS), using the PHP programming language.  The example used is the Marmoutier Abbey hostelry, a centuries-old building which, according to the sources presented, has evolved architecturally over several centuries ((Jean-Yves et al 2024: 8). These states of the building are represented visually through architectural elements based on their existence, location, shape and size, always in terms of what is presented as being plausible. This allows not only the creation of a matrix in which various categories are related to various architectural elements, but also a visual aid, through a chromatic spectrum, of the plausibility that the authors are aiming for. 

In short, this is an article that seeks to rethink the degree of knowledge we can obtain through 3D visualizations and that does not take models as static, but rather realities that must be explored, recycled and reinterpreted in the light of different data, users and future research. For this reason, it is a work of great relevance to theoretical advances in 3D modeling adapted to archaeology.

References

Blaise, J.-Y., Dudek, I., Bergerot, L. and Gaël, S. (2024). Visual encoding of a 3D virtual reconstruction's scientific justification: feedback from a proof-of-concept research, Zenodo, 7983163, ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.10496540

John Maeda. (2006). The Laws of Simplicity. MIT Press, Cambridge, MA, USA.

The increasing reliance on digital and big data in archaeology is pushing the scientific community more and more to reconsider their storing and use [1, 2]. Furthermore, the openness and findability in the way these data are shared represent a key matter for the growth of the discipline, especially in the case of bioarchaeology and archaeological sciences [3]. 

In this paper, [4] the author presents the result of a survey targeted on UK bioarchaeologists and then extended worldwide. The paper maintains the structure of a report as it was intended for the conference it was part of (CAA 2023, Amsterdam) but it represents the first public outcome of an inquiry on the bioarchaeological scientific community. A reflection on ourselves and our own practices. Are all the disciplines adhering to the same policies? Do any bioarchaeologist use the same protocols and formats? Are there any differences in between the domains? Is the Needs Analysis fulfilling the questions?

The results, obtained through an accurate screening to avoid distortions, are creating an intriguing picture on the current state of "fairness" and highlighting how Institutions' rules and policies can and should indicate the correct workflow to follow. In the end, the wide application of the FAIR principles will contribute significantly to the growth of the disciplines and to create an environment where the users are not just contributors, but primary beneficiaries of the system. 

[1] Huggett j. (2020). Is Big Digital Data Different? Towards a New Archaeological Paradigm, Journal of Field Archaeology, 45:sup1, S8-S17. https://doi.org/10.1080/00934690.2020.1713281

[2] Nicholson C., Kansa S., Gupta N. and Fernandez R. (2023). Will It Ever Be FAIR?: Making Archaeological Data Findable, Accessible, Interoperable, and Reusable. Advances in Archaeological Practice 11 (1): 63-75. https://doi.org/10.1017/aap.2022.40

[3] Plomp E., Stantis C., James H.F., Cheung C., Snoeck C., Kootker L., Kharobi A., Borges C., Reynaga D.K.M., Pospieszny Ł., Fulminante, F., Stevens, R., Alaica, A. K., Becker, A., de Rochefort, X. and Salesse, K. (2022). The IsoArcH initiative: Working towards an open and collaborative isotope data culture in bioarchaeology. Data in brief, 45, p.108595. https://doi.org/10.1016/j.dib.2022.108595

[4] Lien-Talks, A. (2024). How FAIR is Bioarchaeological Data: with a particular emphasis on making archaeological science data Reusable. Zenodo, 8139910, ver. 6 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8139910