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Record W2009531174 · doi:10.4000/litteratures.294

Jean Meckert/Amila en blanc et noir

2014· article· fr· W2009531174 on OpenAlex
Cyril Piroux

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLittératures · 2014
Typearticle
Languagefr
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsArtHumanitiesAdmirationPhilosophyLiterature

Abstract

fetched live from OpenAlex

Lorsqu’en 1950, John Amila intègre avec Y a pas de bon dieu la célèbre Série Noire de Marcel Duhamel, l’écrivain n’est pas un inconnu des Lettres françaises. Les Coups (1941) puis L’Homme au marteau (1943) lui avaient apporté l’admiration d’André Gide, Raymond Queneau et Roger Martin du Gard. Comment expliquer alors cette surprenante réorientation littéraire ? C’est la question à laquelle se propose de répondre notre étude, en retraçant l’itinéraire éditorial de ce franc-tireur de la littérature française, persuadé que le monde ne pouvait être ni tout blanc, ni tout noir.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.586
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.211
Teacher spread0.198 · 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