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Record W4380350509 · doi:10.48738/2023.iss1.811

A Third Neanderthal Individual from La Ferrassie Dated to the End of the Middle Palaeolithic

2022· preprint· en· W4380350509 on OpenAlexafffund
Guillaume Guérin, Vera Aldeias, Frederik Baumgarten, Paul Goldberg, Asier Gómez‐Olivencia, Christelle Lahaye, Stéphane Madelaine, Bruno Maureille, Anne Philippe, Dennis Sandgathe, Sahra Talamo, Kristina J. Thomsen, Alain Turq, Antoine Balzeau

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2022
Typepreprint
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsSimon Fraser University
FundersUniversité de NantesUniversità di BolognaMinisterio de Ciencia e InnovaciónDanmarks Tekniske UniversitetCentre National de la Recherche ScientifiqueAgencia Estatal de InvestigaciónAgence Nationale de la RechercheSimon Fraser UniversityEusko Jaurlaritza
KeywordsNeanderthalArchaeologyGeographyAncient historyHistory

Abstract

fetched live from OpenAlex

The Palaeolithic site of La Ferrassie (SW France) has been extensively studied since its discovery during the 19th century. In addition to a large sequence including Middle and Upper Paleolithic layers, the site has yielded two very complete adult Neanderthal skeletons, five partial immature Neanderthal skeletons as well as a few isolated human remains. Currently, much of the site sequence has been dated by radiocarbon and OSL but the dating of the human skeletal remains is still a matter of debate. Here, we present the OSL dating of a still consolidated sediment sample associated with the Neanderthal skeleton La Ferrassie 1 (LF1), unearthed by Peyrony and Capitan in 1909 and preserved at the Musée de l’Homme (Paris, France). This block of sediment is crucial as it constitutes the first possibility to date a sample in close association with the specimen. This sample is included in a chronological model at the scale of the site, with the aim to estimate the ages of three Neanderthal individuals: La Ferrassie 1, 2 and 8 (LF1, LF2 and LF8). Two chronological modelling tools (OxCal and BayLum/ArchaeoPhases) are first applied to previously published radiocarbon ages and compared. Chronological inferences show that the BayLum/ArchaeoPhases model provides posterior probability densities, or statistical inferences, that are more consistent with the measured data. When including OSL ages in the BayLum model, we can conclude that all three studied individuals date from the late Middle Palaeolithic (<52 ka at the 95% credibility level) and could have been contemporaries in the range 44.9 to 44.1 ka.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.043
GPT teacher head0.269
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2022
Admission routes2
Has abstractyes

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