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Record W4381740245 · doi:10.4000/palethnologie.4488

Datation de l’art rupestre : deux nouvelles méthodes pour peintures et gravures

2013· article· fr· W4381740245 on OpenAlexaboutno aff
Bryan C. Gordon

Bibliographic record

VenuePalethnologie · 2013
Typearticle
Languagefr
FieldArts and Humanities
TopicArchaeological and Geological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRock artArtHumanitiesGeographyArchaeology

Abstract

fetched live from OpenAlex

Deux nouvelles méthodes pour dater l’art rupestre à l’aide du sol sous‑jacent ont été testées sous dix ensembles de peintures et cinq de gravures dans sept régions du Canada, du Mexique et des États‑Unis. Elles partent du principe que les particules de pigment, les gouttelettes de peinture ou les esquilles des percuteurs et la poussière créées par l’artiste sont tombées à ses pieds. Ceci s’apparente à la poussière de craie au pied d’un tableau noir, aux gouttelettes lors de peintures ou aux e...

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.006
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.010

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 head0.078
GPT teacher head0.300
Teacher spread0.222 · 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 designBench or experimental
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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