Animalité et entre-soi dans La héronnière et L’habitude des bêtes de Lise Tremblay
Bibliographic record
Abstract
Cet article se penche sur les notions d’animalité et d’entre-soi dans La héronnière (2003) et L’habitude des bêtes (2017) de Lise Tremblay, deux textes dont les narrateurs sont soumis aux ragots du village. Dans ces villages isolés, la chasse affirme un désir de violence masculin, entre protection des siens et défense de l’honneur. Les femmes gravitent autour des chasseurs sans être totalement considérées comme des partenaires égales dans l’organisation de la vie rurale, ce qui précipite leur départ volontaire. Prisonniers du calendrier de la chasse, les animaux qui surgissent dans ces textes révèlent l’impossible dialogue entre les sexes et jouent le rôle de médiateurs dans les relations tendues entre hommes et femmes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".