« Strappare lungo i bordi » : traduction et adaptation du dialecte romain au français montréalais
Bibliographic record
Abstract
Ce mémoire présente la traduction et l’adaptation de l’italien régional de Rome au français montréalais des sous-titres des trois premiers épisodes ainsi que de la bande-annonce de la série italienne Strappare lungo i bordi de Zerocalcare. Le choix d’une stratégie traductive appartenant plutôt au courant assimilateur qu’étrangéisant a rendu nécessaire la recherche d’équivalents dynamiques entre les réalités géographiques, temporelles, technologiques, onomastiques, sportives et institutionnelles des contextes romain et québécois. Le traducteur explique les décisions traductives et adaptatives adoptées en vue de la transposition de la vie du protagoniste de la série de la ville de Rome à celle de Montréal, ainsi que les défis qu’implique la transcription de la langue parlée à la forme écrite.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".