Hellman’s Scrapbook de Robert Majzels : un autre regard sur la surconscience linguistique québécoise
Bibliographic record
Abstract
De l'avis de plusieurs commentateurs, la littérature québécoise se caractérise par l'attention qu'elle porte aux rapports entre langues et littérature — ce que Lise Gauvin appelle la surconscience linguistique de l'écrivain. Cet article propose une lecture de Hellman's Scrapbook de Robert Majzels, qui vise à mettre en lumière le fait que pareille surconscience (et son corollaire fréquent de plurilinguisme) ne se limite pas aux oeuvres québécoises publiées en français. Hellman's Scrapbook constitue un exemple frappant de surconscience linguistique, et les stratégies plurilingues qu 'on y trouve invitent à une réévaluation des lignes de démarcation permettant de définir le champ littéraire québécois.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".