Bibliographic record
Abstract
L’article se penche sur la réécriture et l’amplification du roman de Jean Vaillancourt Les Canadiens errants (1954) que constitue le roman de Richard Hétu, Rendez-vous à l’Étoile (2006). Les distorsions observées dans la reprise du roman de 1954 par le roman de 2006, la contextualisation à laquelle donne lieu la transformation de Jean Vaillancourt en personnage de fiction, de même que l’expansion que prend dans Rendez-vous à l’Étoile la figure, pourtant discrète dans Les Canadiens errants, d’Ernest Hemingway permettent de lire le roman de Richard Hétu comme une tentative de restituer une intelligibilité, à la fois éthique et idéologique, mais aussi sociale et psychologique à l’engagement dans la guerre d’un jeune Canadien français. C’est sur cette entreprise de justification, en partie impossible, que porte l’analyse.
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 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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.023 | 0.026 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 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".