Bibliographic record
Abstract
Trois « Cahiers de lecture » d’André Belleau sont conservés au Service des archives et de gestion des documents de l’Université du Québec à Montréal, où il a enseigné de 1969 à sa mort en 1986. Sauf pour des extraits parus en 1995, ces textes, qui comptent un peu plus de soixante mille mots, sont inédits. Quelques semaines ou mois avant de mourir, Belleau a relu les notes qu’il avait rassemblées depuis 1963. Il ne les a pas réorganisées, réécrites, transformées en profondeur, mais il a voulu s’y replonger et y laisser la trace, difficilement, d’une (re)lecture. Corrigeant, précisant, proposant des renvois, un auteur-lecteur arrêtait son texte une dernière fois. Pour lui-même ? Pour d’autres ? Mais qu’est-ce que ces « Cahiers » ? Quelle place occupent-ils par rapport aux publications, études ou essais, d’André Belleau ? Que révèlent-ils de l’atelier de l’écrivain ? C’est à ces questions que l’article s’attache à répondre.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.027 | 0.007 |
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".