Michel Tremblay adaptateur de pièces françaises : le cas de Les Trompettes de la Mort
Bibliographic record
Abstract
Romancier et dramaturge bien connu, Michel Tremblay est également l’auteur de nombreuses traductions et adaptations encore peu étudiées par les critiques. Dans ce large corpus d’adaptations, l’on note la présence pour le moins surprenante de cinq pièces françaises dont Les Trompettes de la mort écrite par Tilly. Comment comprendre le choix de Michel Tremblay d’adapter des pièces françaises ? Faut-il y voir la manifestation de la tendance ethnocentriste des années 1970-80 mise en évidence par Annie Brisset ? À travers l’analyse de l’adaptation québécoise de la pièce Les Trompettes de la mort, cet article se propose de questionner la pratique de l’adaptation de Michel Tremblay.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.027 | 0.021 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".