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Record W4233203303 · doi:10.4000/dam.2610

Huit objets de cuivre et de bronze du piémont pyrénéen oriental : analyse croisée typologique et métallique

2015· article· fr· W4233203303 on OpenAlexaff
Jean GUILAINE, Florence Cattin

Bibliographic record

VenueDocuments d Archéologie Méridionale · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicArchaeological and Geological Studies
Canadian institutionsCarré Technologies (Canada)Musée de la Civilisation
FundersÉcole des Hautes Etudes en Sciences Sociales
KeywordsArt

Abstract

fetched live from OpenAlex

Cet article porte sur huit pièces à base de cuivre -deux haches plates et six poignards -provenant de la zone sous-pyrénéenne orientale (Corbières, Haute Vallée de l'Aude, Pays d'Olmes), dans les départements de l'Aude et de l'Ariège de l'Est (région de Lavelanet).Elles sont décrites et replacées dans leur contexte typochronologique, alors que les aspects technoéconomiques sont envisagés via la composition métallique (composition élémentaire et rapports isotopiques du plomb).Cinq objets en cuivre -deux haches et trois poignards -sont attribués au Chalcolithique.L'une des haches se rapproche des types nord-ibériques et son importation depuis cette région est suggérée par les analyses métalliques qui placent l'origine du métal dans les Monts Cantabriques.Les trois poignards restants en bronze sont plus tardifs (âge du Bronze et époque historique ?) et de configurations métalliques variées, ce qui laisse envisager un approvisionnement multiple.

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 score0.094
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.093
GPT teacher head0.319
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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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