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Record W1469594696 · doi:10.4000/paleo.2857

The Mesolithic occupations of Bourrouilla in Arancou (Pyrénées-Atlantiques, France)

2013· article· fr· W1469594696 on OpenAlexaff
Morgane Dachary, Jean-Claude Merlet, Mathilde Miquéou, Jean‐Baptiste Mallye, Olivier Le Gall, Anne Eastham

Bibliographic record

VenuePaléo · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsBombardier (Canada)
Fundersnot available
KeywordsHumanitiesGeographyForestryArt

Abstract

fetched live from OpenAlex

Le Mésolithique de l’extrême sud-ouest de la France est aujourd’hui encore mal connu puisque que peu de gisements ont fourni des données fiables entre le sud des Landes et la frontière espagnole. La grotte de Bourrouilla à Arancou (Pyrénées-Atlantiques) apporte de précieuses données grâce à la découverte de témoins d’occupations associant vestiges lithiques et faune (mammifères, poissons et oiseaux).Trois locus, offrant des degrés de conservation différents, documentent inégalement un Premier Mésolithique avancé, un Second Mésolithique à trapèzes et un Néolithique ancien à segments du Bétey. Les études archéozoologiques permettent de percevoir l’exploitation de deux biotopes : la forêt et les cours d’eau. Le spectre de la faune chassée est dominé par le cerf, le chevreuil et le sanglier, auxquels sont associés le blaireau, la martre et la buse variable tandis que l’ichtyofaune est surtout représentée par les cyprinidés. Les données de saisonnalité convergent vers des occupations au début/milieu de la bonne saison. En outre, deux datations radiocarbone contribuent au débat sur la transition entre Premier et Second Mésolithique.

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)0.000
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 score0.420
Threshold uncertainty score0.836

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.290
Teacher spread0.274 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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