L'intertextualité dans les œuvres d'Anne Hébert: Le lien entre la voix poetiqué, la voix narrative, et la voix féminine
Bibliographic record
Abstract
Née en 1916 en Québec, Anne Hébert était consommée par la passion de la littérature jusqu'à sa mort le 22 janvier 2000. Elle est devenue connue d'abord pour sa poésie pendant les années quarantes et cinquantes, et plus tard pour ses romans. Elle est l'une des écrivaines québécoises les plus célèbres. Ses œuvres les plus connues comprennent: Le Torrent, Le Tombeau des Rois, Les Chambres de Bois, Le Temps Sauvage, Kamouraska, Les En/ants du Sabbat, et Les Fous de Bassan, parmi d'autres. Elle est venue d'une famille ayant une grande tradition littéraire et comprenant, entre autre, son cousin, Hector de Saint-Denys Garneau, le poète. Elle a gagné plus de dix-sept prix littéraires en France et au Québec pendant sa carrierè. Eventuellement elle a déménagé en France et y a passé le reste de sa vie, mais retoumait souvent au Canada (Schmid and Terning).
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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 | 0.014 | 0.017 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".