La mort et les rites dans Deuils cannibales et mélancoliques et Fleurs de crachat de Catherine Mavrikakis
Bibliographic record
Abstract
Cette étude vise à analyser l’importance qu’acquiert la thématique de la mort dans les romans Deuils cannibales et mélancoliques (2000) et Fleurs de crachat (2005) de Catherine Mavrikakis. Nous considérerons la mort comme phénomène biologique, comme phénomène social, mais aussi comme phénomène métempirique et empirique qui interrompt la vie quotidienne des personnages. Nous examinerons la relation entre la mort et l’espace québécois où habitent les figures romanesques, ainsi que les attitudes collectives et les pratiques sociales inhérentes au deuil. L’Amérique, en tant que terre d’accueil, fera surgir aussi la question de la provenance et du lieu de sépulture de toute une série d’immigrés tiraillés entre l’espace d’origine et l’espace québécois où ils vivront leurs derniers jours.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".