Québécois, malgré nous : Naissance et évolution d’une identité québécoise dans trois romans de Réjean Ducharme
Bibliographic record
Abstract
This honors thesis focuses on moments in Réjean Ducharme’s L’Avalée des avalés, L’Hiver de force et Va savoir that are indicative of historical and social questions in Quebec. These novels span a 30 year period of critical developments for Quebec. This analysis, consequently, examines the relationship between Ducharme’s universe and the world in which he lived. It argues that Ducharme’s texts indirectly respond to social questions and discourses, and moreover, that they elaborate a new vision for Quebec and its people. Le présent mémoire porte sur des instances révélatrices de questions historiques et sociales au Québec dans L’Avalée des avalés, L’Hiver de force et Va savoir de Réjean Ducharme. Le contexte historique des romans s’étend sur une trentaine d’années, voire des années 60 aux années 90. Une période critique de l’histoire du Québec durant laquelle la province a vécu d’importants changements politiques majeurs. Cette recherche, par conséquent, s’attarde au rapport entre l’imaginaire ducharmien et le vécu de l’auteur. Elle montre que le texte de Ducharme répond d’une manière indirecte aux discours sociaux, et que l’auteur élabore une nouvelle vision pour le Québec et son peuple. ×
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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 | 0.002 |
| Science and technology studies | 0.027 | 0.019 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".