Penser au Québec, penser le Québec. De quelques revues de sciences sociales
Bibliographic record
Abstract
Dans le contexte de la transformation rapide du champ éditorial scientifique, qu’advient-il des revues de sciences sociales et plus précisément des revues québécoises d’histoire, de sociologie et de démographie publiant en français? Le texte se penche sur leur histoire, leur rapport à l’institution universitaire, au public spécialisé, au large public, à la discipline et au Québec. Si le choix de la démographie, de l’histoire et de la sociologie est en partie arbitraire, il permet de cerner une dynamique représentative des sciences sociales et humaines et de mettre en évidence certains enjeux et paradoxes relatifs à cette dynamique. Penser le Québec, penser au Québec sont deux choses différentes, et qui ensemble contribuent à construire un champ scientifique original, mais largement fragilisé.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.018 | 0.013 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 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".