Disqualification d’autrui, disqualification de soi : l’auto-dévaluation chez les Québécois francophones
Bibliographic record
Abstract
L’identité des Québécois francophones s’est toujours construite en confrontation avec celle des anglophones. L’instauration d’une politique linguistique en faveur de la langue française a participé à l’émancipation des francophones, mais, aujourd’hui encore, on observe une forme d’auto-dévaluation des Québécois francophones. C’est à cette question que cet article est consacré, et ce, à partir d’une étude de cas envisagée selon une approche sociolinguistique de l’analyse du discours : la controverse entourant l’affaire Maclean’s, où des tensions fortement ancrées entre les groupes – et au sein d’un même groupe – ont été remises en discours à la suite de la publication, par le magazine canadien Maclean’s, d’un dossier sur la corruption au Québec.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".