Bibliographic record
Abstract
Dans Un ange cornu avec des ailes de tôle , Michel Tremblay parle des livres qui ont marqué sa jeunesse en soulevant à ce propos des questions importantes: qu’est-ce que lire en «non-spécialiste»? comment peut-on être jaloux d’un personnage? pourquoi la logique fictionnelle ne s’accorde-t-elle pas avec la réalité? comment la fiction s’affranchit-elle des grands principes moraux tout en restant fidèle à la «vraie vie»? Michel Tremblay, à sa manière, apporte des réponses à ces questions en abordant la pertinence des émotions que peut éprouver le lecteur d’un point de vue esthétique et moral face à des textes aussi différents que Patira de Raoul de Navery, Agamemnon d’Eschyle, Bonheur d’occasion de Gabrielle Roy.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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; both teacher heads agree on what is shown here.
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".