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Record W2765827963 · doi:10.7202/1041658ar

De l’emploi des surtitres anglais dans les théâtres franco-canadiens : bénéfice et préjudice

2017· article· fr· W2765827963 on OpenAlexaffvenueabout
Louise Ladouceur

Bibliographic record

VenueTTR traduction terminologie rédaction · 2017
Typearticle
Languagefr
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsUniversity of Alberta
FundersUniversiteit Antwerpen
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Cet article propose une étude du surtitrage dans les théâtres francophones de l’Ouest canadien afin de mettre en relief ce qui distingue ce mode de traduction dans le champ de la traduction audiovisuelle. Le théâtre étant un art vivant, les surtitres doivent composer avec la nature instable du texte source livré sur scène et les différents profils linguistiques des destinataires auxquels ils sont transmis pendant le spectacle. Mis en pratique depuis plusieurs années dans les théâtres franco-canadiens, le surtitrage offre plusieurs avantages aux compagnies théâtrales fonctionnant dans une langue française minorisée puisqu’il permet à l’oeuvre de rejoindre un public élargi tout en conservant sa spécificité linguistique et esthétique. Toutefois, parce qu’il oblige les langues source et cible à cohabiter dans un espace traditionnellement consacré à des productions culturelles d’expression française, ce mode de traduction remet en cause la vocation des théâtres francophones en contexte minoritaire. Enfin, devenue pratique courante dans les théâtres franco-canadiens, le surtitrage demeure absent des scènes anglophones, ce qui met en relief l’asymétrie des langues officielles du Canada.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.002
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.135
GPT teacher head0.333
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
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

Citations5
Published2017
Admission routes3
Has abstractyes

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