L'ANGLAIS, CLÉ DE L'OUVERTURE SUR LE MONDE? ANALYSE DE CADRAGE DU DÉBAT PUBLIC QUÉBÉCOIS SUR L'ENSEIGNEMENT INTENSIF DE L'ANGLAIS, LANGUE SECONDE
Bibliographic record
Abstract
Dans l'actuel contexte de globalisation, l'espace public mediatique devient le lieu d'un affrontement pour le controle symbolique des debats (Castells, 2007). A cette fin, certains outils s'averent strategiques. Parmi eux : l'utilisation de « cadres » dotes d'une forte resonance culturelle tels les mythes (Entman, 2009) ; d'autre part : l'instrumentalisation de la langue, outil symbolique par excellence. Ces deux instruments se conjuguent dans l'actuel phenomene de globalisation linguistique et, plus precisement, dans le discours « mythique » de l'anglais, langue mondiale (Grin, 2012; Watts, 2011). Par la presentation de cette problematique de recherche doctorale, nous souhaitons amorcer une reflexion sur le role joue par les mythes dans le cadrage du discours public. Nous proposons d'etudier le cas du Quebec ou le discours de l'anglais, langue mondiale, semble avoir conduit a l'adoption de mesures educatives speciales. Cela alors que l'enjeu linguistique y revet historiquement une dimension identitaire et politique.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.007 | 0.003 |
| 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".