Dichotomies spatio-sociales dans Il pleuvait des oiseaux de Jocelyne Saucier
Bibliographic record
Abstract
Dans son roman Il pleuvait des oiseaux (XYZ, 2011), Jocelyne Saucier, écrivaine québécoise, raconte l'histoire des grands feux qui ont eu lieu au début du XXe siècle dans la province d'Ontario. Arrivant du centre à la périphérie de ces bois en quête d'une histoire presque oubliée, deux femmes, une photographe et une vieille dame, retracent l'histoire de ces événements en rencontrant deux hommes âgés exclus et en se familiarisant avec eux. Dans notre contribution, nous analysons comment ces deux univers d'une périphérie et d'un centre s'affrontent, quelles dichotomies spatio-sociales nous pouvons observer au sein du roman et quelle en est l'issue tant pour la narration que pour les protagonistes de l'histoire.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.028 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".