Bibliographic record
Abstract
Contrairement à ce qu’on lit dans l’avertissement des Lettres à ses amis de Saint-Denys Garneau paru en 1967, les amis éditeurs n’ont pas publié l’ensemble des lettres de Garneau qu’ils avaient en leur possession. Le fonds Claude-Hurtubise (Bibliothèque et Archives du Canada) contient en effet un ensemble de 33 lettres inédites de Garneau à Claude Hurtubise. Ce sont ces lettres qui font l’objet du présent article. On y découvre un Saint-Denys Garneau en apparence plus impudique qu’ailleurs, souvent blagueur, volontiers scatologique et indécent, toujours en quête de lui-même, et comme indifférent à son destinataire. Au-delà des facéties qui rappellent une certaine littérature célibataire, l’analyse montre toutefois que, même dans les lettres les plus crues, l’impudeur de ces écrits intimes ne se distingue pas fondamentalement du ton impersonnel qui marque toute l’oeuvre de Garneau.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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".