Quand le doublage se dédouble : étude comparative des doublages français et québécois de dessins animés
Bibliographic record
Abstract
La question de la coexistence des doublages québécois et français ne manque jamais de susciter de fortes réactions. Dans le présent travail, nous abordons cette question en nous intéressant plus précisément au doublage des dessins animés. Il s'agit de déterminer si l'existence d'un doublage québécois se justifie d'un point de vue linguistique et culturel. Après avoir défini quelles sont les productions qui disposent d'un doublage québécois ainsi que les différences de stratégie qui existent entre les doublages produits en France et ceux réalisés au Québec, une analyse d'extraits permet d'observer les divergences qui se présentent dans le traitement de différents problèmes d'ordre traductologique et d'étudier si celles-ci se fondent sur une différence culturelle.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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.
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".