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Record W1966526760 · doi:10.7202/201500ar

Ici comme ailleurs : le territoire de la traduction dans Les reines de Normand Chaurette

2006· article· fr· W1966526760 on OpenAlexvenueaboutno aff
Shawn Huffman

Bibliographic record

VenueVoix et Images · 2006
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

À partir de son projet de traduire Richard III de Shakespeare, projet qui n'a pas abouti, Normand Chaurette utilise les personnages féminins du dramaturge anglais pour écrire une nouvelle pièce de théâtre, soit Les reines. L'emploi de la traduction comme processus créateur relativisant le paradigme identitaire classique du Même et de l'Autre radicalise les concepts d'origine et d'appartenance territoriale et langagière pour souligner un exil féminin ressenti comme étant intérieur à l'espace et à la langue. Le « rapatriement » des personnages chaurettiens à la langue et au territoire anglais par Linda Gaboriau dans sa traduction, The Queens, permet de vérifier le bien-fondé de cette hypothèse. Traduction d'une pièce originale née elle-même d'une traduction, la version en langue anglaise réinvente les altérités élaborées dans le texte du dramaturge québécois.

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)0.002
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: none
Teacher disagreement score0.470
Threshold uncertainty score0.934

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.019
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.024
GPT teacher head0.273
Teacher spread0.249 · 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

Citations2
Published2006
Admission routes2
Has abstractyes

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