30 La crise d’Octobre 1970 au Québec : littérature et cinéma
Bibliographic record
Abstract
Résumé La crise d’octobre (1970) est un épisode violent et traumatique de l’histoire du Québec. Ce texte se propose d’analyser l’ambigüité de sa représentation dans des textes littéraires (romans et récits) et des films (fictions et documentaires) récents, à partir des questions irrésolues et des différends qui sont à l’oeuvre dans la construction sans cesse révisée et conflictuelle d’une mémoire de cette crise. Dans la perspective de l’imaginaire social (Pierre Popovic) et des ‹ fictions latentes › qui se développent en se répondant et cristallisent les manières de raconter et de se souvenir d’épisodes passés dans une société donnée, l’analyse se développe autour de trois contentieux interprétatifs, la responsabilité de la violence, la manipulation des évènements et leur atténuation dans les discours et les récits qui en rendent compte.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 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".