Des arpents de neige à partager. Les études québécoises en Scandinavie
Bibliographic record
Abstract
À travers la Scandinavie, de nombreux professeurs, chercheurs et étudiants s’intéressent au Québec. Dans cet article, j’aborde cinq structures institutionnelles qui permettent à ces gens d’exprimer cet intérêt et contribuent à l’accroître : les programmes d’études, les centres d’études, l’Association nordique d’études canadiennes ainsi que les séminaires et les programmes d’échanges. Malgré la bonne organisation des études québécoises, il y a toujours du travail à faire, par exemple au niveau des finances et de la structure de ce champ d’études. Cependant, grâce au travail entrepris auprès des jeunes, les perspectives pour les études québécoises semblent relativement bonnes.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".