MétaCan
Menu
Back to cohort
Record W2055171896 · doi:10.7202/037411ar

Migrations littéraires : Maryse Condé et Emily Brontë

2007· article· fr· W2055171896 on OpenAlexvenueno aff
Anne Malena

Bibliographic record

VenueTTR traduction terminologie rédaction · 2007
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Migrations littéraires : Maryse Condé et Emily Brontë — En tant que ré-écriture de Wuthering Heights (1847) d'Emily Brontë, La Migration des coeurs (1995) de Maryse Condé transpose le classique anglais dans un contexte antillais marqué par la violence colonialiste et l'hétérogénéité. Ce procédé de ré-écriture est un procédé de traduction dans le sens large du terme parce que l'improvisation à laquelle se livre Condé maintient un lien métonymique avec l'original tout en fonctionnant de façon indépendante. À son tour, la traduction anglaise du roman de Condé, Windward Heights (1998), suit ces pistes brouillées mais, par manque de stratégies conséquentes de traduction, compromet l'élan créateur de Condé en rapprochant son texte trop près de celui de Brontë. Cette étude montrera que ces mouvements de migration littéraire impliquent que l'écriture s'appuie sur des procédés de traduction et que la ré-écriture maintient une difficile relation métonymique avec l'original en lui rendant hommage tout en le transformant.

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)0.002
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 score0.084
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.005
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.075
GPT teacher head0.329
Teacher spread0.254 · 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

Citations3
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueTTR traduction terminologie rédactionSame topicLinguistics and Discourse AnalysisFrench-language works237,207