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Record W758116113

La « Loi 101 » et la langue du théâtre québécois : implications pour la traduction

2013· article· fr· W758116113 on OpenAlexaboutno aff
Iga Leszczyńska

Bibliographic record

VenueAdam Mickiewicz University Repository (Adam Mickiewicz University in Poznan) · 2013
Typearticle
Languagefr
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical sciencePhilosophyHumanities
DOInot available

Abstract

fetched live from OpenAlex

Ensuring unilingual French in Quebec, “Bill 101” also makes an impact on the culture and theatre therein. The use of the sociolect of the Montreal working class (commonly called “joual”) thus ceases to be the flagship issue of any artistic or literature production of the Province. However, the language of plays created after the “Les Belles-Soeurs” of Michel Tremblay does not lose its identification value, demonstrated by the presence of specific elements of the Quebec French language. Nevertheless, these Quebecisms constitute the main difficulty when translating Quebec plays into foreign languages and for their adaptation into other francophone theaters. Starting from a sociolinguistic perspective, the purpose of this contribution is to improve the understanding of the challenge raised when translating/adapting texts written in “joual”. Selected texts include the above mentioned work and later plays – to take only the most representative examples – “Albertine en cinq tems” of the same author, and “Les Muses orphelines” by Michel Marc Bouchard. This author analyzes selected French and Spanish-speaking versions of these texts with the aim to compare and contrast differences between the translations and the Quebecian originals.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.788
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.205
Teacher spread0.192 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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