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Record W2245621166

« Traduire à l’oreille » : vers une poétique de la « musicaméricanité » chez Michel Tremblay

2013· article· fr· W2245621166 on OpenAlexaffvenueabout
Sathya Rao

Bibliographic record

VenueStudies in Canadian Literature · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHumanitiesPhilosophyArt
DOInot available

Abstract

fetched live from OpenAlex

S’il ne fait aucun doute que les toutes premieres « adaptations » de Michel Trembley furent marquees par une visee ethnocentriste, l’on ne peut  en dire de meme  de sa traduction d’ Oncle Vania ni de toutes celles qui suivirent. Les traductions (et adaptations) de  Tremblay gagneraient d’ailleurs a etre envisagees a la lumiere d’une reflexion nourrit simultanement par les notions d’americanite et de musicalite. Nous procederons a l’analyse comparee des traductions d’ Orpheus Descending de Tennessee Williams, signees par Raymond Rouleau et Michel Tremblay, a l’aide de  ces concepts entendus comme postulats traductologiques. Nous croyons ainsi pouvoir ouvrir de nouvelles perspectives, a la fois ethiques et esthetiques, sur l’œuvre de l’auteur quebecois en general et sur ses traductions en particulier. Loin d’etre exogenes ces notions, qui resident au cœur meme du projet litteraire tremblayen, concourent a lui conferer une veritable unite (poetique) sans pour cela laisser en reste la traduction.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.777
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.285
Teacher spread0.270 · 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 teacher head, not a consensus.

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

Citations1
Published2013
Admission routes3
Has abstractyes

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