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Record W1847564304 · doi:10.7202/1013400ar

Expatriation et traduction : Chester Himes traduit dans le champ français du roman policier (1957-1960)

2013· article· fr· W1847564304 on OpenAlexvenueno aff
Jean-Marc Gouanvic

Bibliographic record

VenueTTR traduction terminologie rédaction · 2013
Typearticle
Languagefr
FieldArts and Humanities
TopicCrime and Detective Fiction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

L’oeuvre de l’écrivain américain Chester Himes comporte sept romans policiers qui ont la particularité d’avoir été d’abord écrits en anglo-américain, puis traduits et publiés en français, enfin publiés pour la première fois en anglo-américain aux États-Unis dans une version différente de la version originale, source de la traduction. Le présent article tente d’analyser les déterminations qui sont à l’origine du fort intérêt de Himes pour le roman policier, en resituant les conditions qui l’ont amené à se tourner vers le genre. Nous examinons l’habitus de Himes, le rôle essentiel joué par Marcel Duhamel (directeur de la Série Noire), par le champ français du roman policier et par la traduction (en la personne de la traductrice Minnie Danzas), ainsi que l’illusio spécifique de ses romans policiers et tout spécialement The Five-Cornered Square et sa traduction, La reine des pommes. Nous voyons, pour finir, comment le succès rencontré par La reine des pommes en 1958 a élargi considérablement la gamme des possibles narratifs dans le champ français du roman policier.

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)0.002
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.332

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0120.009
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.056
GPT teacher head0.268
Teacher spread0.212 · 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
Published2013
Admission routes1
Has abstractyes

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