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Record W7074145292

Multiproxy bioarchaeological data reveals interplay between growth, diet and population dynamics across the transition to farming in the central Mediterranean

2023· article· en· W7074145292 on OpenAlexaff

Bibliographic record

VenueApollo (University of Cambridge) · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsWestern University
FundersArts and Humanities Research CouncilIsaac Newton TrustLeverhulme Trust
KeywordsScholarshipPrehistoryMalteseResearch councilPopulationWhite (mutation)General partnership
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.260
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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