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Record W4385074356 · doi:10.4000/elseneur.1021

Échos de Lascaux : Char… Zervos, Breuil, Bataille et Blanchot

2018· article· fr· W4385074356 on OpenAlexaff
François Jeune

Bibliographic record

VenueElseneur · 2018
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsArtHumanitiesArt history

Abstract

fetched live from OpenAlex

La découverte de la grotte de Lascaux en 1940, et les analyses scientifiques auxquelles elle a donné lieu, ont provoqué beaucoup d’échos chez les poètes, les peintres et les écrivains. Les artistes reprennent la notion développée par le préhistorien André Leroi-Gourhan de « paroi participante ». Les peintres, en particulier, interprètent la caverne comme un corps créateur d’images. Leur travail s’appuie sur des relevés des œuvres paléolithiques et des photographies des parois des grottes. Ces dernières inspirent également les textes poétiques. Les échanges de René Char avec Christian Zervos qui dirige la revue Cahiers d’art, puis avec Georges Bataille, débouchent en particulier sur quatre poèmes. Ceux-ci sont analysés comme une transposition poétique, redevable pour son contenu sémantique à la pensée de Bataille et, pour son organisation graphique, aux peintres de la préhistoire.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.080
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.007
Scholarly communication0.0060.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.223
GPT teacher head0.336
Teacher spread0.112 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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