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Record W4319827607 · doi:10.1126/science.abo7452

Expanded geographic distribution and dietary strategies of the earliest Oldowan hominins and <i>Paranthropus</i>

2023· article· en· W4319827607 on OpenAlexaff
Thomas W. Plummer, James S. Oliver, Emma M. Finestone, Peter Ditchfıeld, Laura C. Bishop, Scott A. Blumenthal, Cristina Lemorini, Isabella Caricola, Shara E. Bailey, Andy I.R. Herries, Jennifer Parkinson, Elizabeth Whitfield, Fritz Hertel, Rahab N. Kinyanjui, Thomas Vincent, Youjuan Li, Julien Louys, Stephen R. Frost, David R. Braun, Jonathan S. Reeves, Emily D. G. Early, Blasto Onyango, Raquel Lamela-Lopez, Frances Forrest, Huaiyu He, Timothy Lane, Marine Frouin, Sébastien Nomade, Evan P. Wilson, S. Bartilol, Nelson Kiprono Rotich, Richard Potts

Bibliographic record

VenueScience · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsUniversity of British Columbia
FundersNational Commission for Science, Technology and InnovationWilliam H. Donner FoundationLeakey FoundationNational Science Foundation
KeywordsOlduvai GorgeFaunaMegafaunaGeographyBiologyArchaeologyEcologyPleistocene

Abstract

fetched live from OpenAlex

The oldest Oldowan tool sites, from around 2.6 million years ago, have previously been confined to Ethiopia’s Afar Triangle. We describe sites at Nyayanga, Kenya, dated to 3.032 to 2.581 million years ago and expand this distribution by over 1300 kilometers. Furthermore, we found two hippopotamid butchery sites associated with mosaic vegetation and a C 4 grazer–dominated fauna. Tool flaking proficiency was comparable with that of younger Oldowan assemblages, but pounding activities were more common. Tool use-wear and bone damage indicate plant and animal tissue processing. Paranthropus sp. teeth, the first from southwestern Kenya, possessed carbon isotopic values indicative of a diet rich in C 4 foods. We argue that the earliest Oldowan was more widespread than previously known, used to process diverse foods including megafauna, and associated with Paranthropus from its onset.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.010
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 head0.022
GPT teacher head0.299
Teacher spread0.277 · 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.

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

Citations147
Published2023
Admission routes1
Has abstractyes

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