Multiproxy bioarchaeological data reveals interplay between growth, diet and population dynamics across the transition to farming in the central Mediterranean
Bibliographic record
Abstract
Acknowledgements: We would like to thank all the institutions who granted access to the archaeological material used in this study, with very special thanks to Luca Bondioli, Fulvio Bartoli and Claudio Cavazzuti. This research was primarily funded by the Arts & Humanities Research Council through the University of Cambridge Doctoral Training Partnership (awarded to E.P.). Additional funding was granted to E.P. from the Prehistoric Society, University of Sheffield’s Andrew Sherratt Award, as well as the Smuts Fund, Dorothy Garrod fund, Robert Gardiner Memorial Scholarship and Isaac Newton Trust from the University of Cambridge. E.P was also supported by the Leverhulme Trust whilst developing some of this research. Bioarchaeological data from Liguria, Italy, was collected as part of the BUR.P.P.H project (PI Vitale Sparacello) and Maltese data was partly collected as part of the FRAGSUS project (PI Caroline Malone). The authors would also like to thank Lee Byrne, Josephine Parkinson, Karīna Lauze, Lisa White and Svetlana Svyatko. Finally, we thank the Editor and three anonymous reviewers for their helpful feedback on the manuscript which enhanced the work.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".