Towards an ethic of cultural harmonization : translating history textbooks in the province of Québec
Bibliographic record
Abstract
Confronté à un projet de traduction de manuels d’histoire du français à l’anglais, destinés aux écoles publiques anglophones au Québec, Michael Varga définit une méthode qui ne s’appuie pas sur les théories de traduction classiques reliées aux structures binaires, mais qui s’inspire plutôt du modèle de la narratologie (narrative theory) prôné par Mona Baker. Varga reconnaît la légitimité d’une pluralité de narrations en compétition entre elles qui se manifestent parmi les différents groupes socioculturels faisant partie d’une même société (le Québec). Il identifie des passages en provenance du texte d’origine qui mettent en relief des conflits reliés à l’accommodation culturelle. Il traite la façon dont ces conflits échouent à communiquer adéquatement des réalités culturelles appropriées, lesquelles seront en concert avec les normes et valeurs propres à la société québécoise. Il propose des traductions, apte au domaine pédagogique, qui désamorceront ces conflits et les accommoderont tout en respectant la pluralité des réalités culturelles en évidence dans la société québécoise.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".