Langue et identité au Québec aujourd’hui. Enjeux, défis, possibilités
Bibliographic record
Abstract
Dans cet article, l’auteur s’intéresse à la question des rapports complexes entre langue et identité au sein d’une collectivité - le Québec - où le contexte général des transactions linguistiques, d’une part, et celui des modalités de définition identitaire du groupement des Québécois, d’autre part, ajoute à la complication du problème. Plutôt que de considérer la langue sous son seul aspect véhiculaire, l’auteur la situe au creux de ses enchevêtrements avec la mémoire à porter et la culture à ouvrir. C’est dans le cadre d’une problématique générale du passage de la collectivité québécoise vers d’autres lieux identitaires, et d’une actualisation des références historiques de cette collectivité, que le sujet est abordé.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.000 |
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".