Catégories ethniques et linguistiques au Québec : quand compter est une question de survie
Bibliographic record
Abstract
L’objectif du présent texte est de rapprocher trois champs de recherche généralement isolés les uns des autres : (1) l’histoire de l’immigration et de la diversité ethnique, (2) l’histoire du nationalisme québécois et (3) l’utilisation politique et idéologique des catégories ethniques et linguistiques pour définir qui est québécois ou québécoise. Dans le cas du Québec, l’utilisation politique des catégories ethniques ne peut se dissocier de l’histoire du nationalisme (ou des nationalismes) et de l’immigration. Pour comprendre cette histoire, le texte fait référence à la distinction entre le nationalisme ethnique, basé sur la notion culturelle de la nation, et le nationalisme civique, basé sur la notion de communauté politique, pour suggérer que les catégories ethniques et linguistiques y sont étroitement associées, mais de façon spécifique.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.015 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".