La médaille Marie-Tremaine / Marie Tremaine Medal (pp 377-388)
Bibliographic record
Abstract
et à Middlebury College (Vermont), à l'École d'été (français), en 1993, 1998 et 1999.Il a offert au cours de sa carrière plus d'une vingtaine de cours de premier cycle, et une douzaine de séminaires de maîtrise et de doctorat.Pierre Hébert a également dirigé 10 thèses et 41 mémoires.Ses travaux couvrent plusieurs domaines : la grammaire, la narratologie, l'histoire littéraire, le roman québécois et, bien entendu, l'histoire du livre.Impressionnante, la liste de ses publications comprend 19 livres et près d'une centaine d'articles parus dans des revues de haut calibre : Voix et images, Études françaises, Études littéraires, The French Review, etc. Il a signé en outre 40 chroniques et quelque 50 articles de dictionnaires et d'encyclopédies, notamment dans le Britannica Book of the Year.Pour clore ce palmarès, ajoutons qu'il a prononcé près de 80 communications, au Québec, au Canada et à l'étranger, et qu'il a obtenu de nombreuses subventions de recherche, ce qui constitue un autre indicateur de l'estime que lui vouent ses pairs et la communauté des chercheurs.L'engagement intellectuel
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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 | 0.003 |
| 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 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.186 | 0.056 |
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".