Les après-guerres en littérature québécoise et le bouleversement des consciences
Bibliographic record
Abstract
Les souvenirs de guerre dans la production littéraire québécoise chez Jean-Jules Richard, Jacques Folch-Ribas, Tecia Werbowski, Aki Shimazaki, Wajdi Mouawad et Rawi Hage seront examinés. Une attention particulière sera portée à la contamination du mal, aux crimes perpétrés par le proche et à la transmission des mêmes jeux sordides de déshumanisation. En littérature, ces configurations mémorielles s’éprouvent toutes dans la zone de l’affect afin de replacer dans la mémoire collective, celle des âmes blessées pour éviter l’effacement, la banalisation ou la muséification des drames de guerre privés. On montrera comment l’œuvre mémorielle, autobiographique ou imaginaire, est complémentaire des autres formes de commémorations mettant un visage sur les victimes anonymes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".