Impossible Nation de Ray Conlogue : anatomie d’une non-traduction
Bibliographic record
Abstract
Le présent mémoire de maîtrise se compose d’une traduction de passages choisis d’Impossible Nation : Longing for Homeland in Canada and Quebec de Ray Conlogue et d’une analyse critique approfondie. L’essai, qui explore la fracture culturelle et linguistique entre le Québec et le Canada anglais, présente les réflexions de l’auteur sur le nationalisme, l’identité culturelle et la reconnaissance mutuelle. L’analyse critique aborde la question de la non-traduction de cet essai en français, en sondant les résistances (idéologiques, économiques et esthétiques), le contexte des années 1990 et la réception tiède qui a été réservée à l’ouvrage au Canada anglais. On y postule que, malgré la pertinence manifeste de l’essai pour le lectorat québécois dans un contexte de réflexion sur l’avenir du biculturalisme, le triomphe du paradigme néolibéral et le désintérêt croissant pour la question nationale qui en découle auraient défavorisé sa traduction.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.032 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".