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Record W2064068916 · doi:10.7202/1028662ar

Le Projet Rideau Project : le théâtre « co-lingue », le bilinguisme officiel et le va-et-vient de la traduction

2015· article· fr· W2064068916 on OpenAlexaffvenueabout
Nicole Nolette

Bibliographic record

VenueMeta Journal des traducteurs · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsMcGill University
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

En 2009, le Théâtre la Catapulte, compagnie professionnelle francophone de création et de production théâtrale de la capitale nationale canadienne, montait un spectacle ambulatoire « co-lingue » où les spectateurs devaient circuler entre différents lieux du quartier central et historique du Marché By d’Ottawa. La composition de ce spectacle, leProjet Rideau Project, comptait six pièces de vingt minutes, dont trois étaient rédigées en français et trois en anglais, de six auteurs et metteurs en scène différents. Les négociations linguistiques au coeur du projet ont exigé l’apport de traducteurs de théâtre pour rééquilibrer la dynamique des langues dans le contexte de sa représentation : quatre pièces en anglais et deux pièces en français au festival de théâtre anglophone, et la proportion inverse au festival francophone. Selon sa propre appellation, « co-lingue », leProjet Rideau Projectmet en relief les enjeux dramaturgiques et traductologiques propres à la pratique et à la mise en scène de l’hétérolinguisme théâtral dans un contexte de bilinguisme officiel.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.279
Threshold uncertainty score0.555

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.007
Scholarly communication0.0070.003
Open science0.0010.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0260.005

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 head0.114
GPT teacher head0.342
Teacher spread0.228 · 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
Published2015
Admission routes3
Has abstractyes

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