Au delà de Cronenberg et Egoyan : Faire connaître le cinéma canadien-anglais aux Québécois
Bibliographic record
Abstract
fJllBk lusieurs spectateurs québécois sont déjà M familiers, sans le savoir, avec le cinéma | canadien-anglais.Les amateurs de cinéma d'horreur ont certainement vu quelquesuns des films les plus connus de David Cronenberg (Shivers, Scanners, The Fly, Naked Lunch, Crash).D'autre part, les fervents de cinéma d'art connaissent les succès récents d'Atom Egoyan (The Adjuster, Exotica, The Sweet Hereafter, Felicia's Journey).Mais le spectateur québécois ne reconnaît sans doute pas l'aspect « canadien » de ces œuvres et est très probablement incapable de situer ces films dans leurs contextes culturel et historique.Pour bien comprendre ce qui est « canadien » chez Cronenberg, Egoyan et d'autres cinéastes populaires comme Patricia Rozema et Bruce McDonald, il faut tout d'abord jeter un coup d'œil sur l'ensemble de la production cinématographique anglo-canadienne et
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.012 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".