Lecture(s) : exclusion et altérité dans Cantique des plaines de Nancy Huston*
Bibliographic record
Abstract
Nous proposons de démontrer que les concepts d’exclusion et d’altérité sont au centre de Cantique des plaines, non seulement en termes d’intrigue et de personnages, mais aussi en termes de l’acte même de lecture(s). Nous verrons qu’une analyse de ces concepts ne saurait s’arrêter au niveau thématique, et qu’il n’est pas possible d’isoler l’exclusion des personnages de la problématique de l’identitaire qui est au coeur de la mosaïque historique, culturelle et sociale canadienne : à l’aide de l’article «Truth in Fiction: A Reexamination of Audiences» de Peter Rabinowitz, nous verrons donc que Nancy Huston amène tous ses lecteurs – qu’ils soient français ou canadien-français – à partiellement faire l’expérience de l’aliénation des personnages.
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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 | 0.000 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".