Une laïcité en Amérique. Genèse de la loi québécoise sur la laïcité de l’État
Bibliographic record
Abstract
L’Assemblée nationale du Québec a adopté en juin 2019 la Loi sur la laïcité de l’État, après un vif débat qui reflète la trajectoire sociohistorique unique de la société québécoise. Cette loi s’insère dans un régime fédéral marqué par une vision westphalienne de la régulation du religieux et par la reconnaissance graduelle de la neutralité religieuse des pouvoirs publics encadrée par une charte des droits sanctionnée par la magistrature. Si l’on oublie souvent que la laïcité possède aussi un ancrage latino-américain, il reste que la loi québécoise bute sur une contestation judiciaire hautement politisée, qui montre la difficulté pour une minorité nationale, distincte par sa langue, son droit civil et son passé catholique, de mener sa propre politique de régulation du religieux.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".