La langue de communication et l’autoestimation de la competence dans le Nord-Est de l’Ontario
Bibliographic record
Abstract
En se penchant sur les jeunes du Nord-Est de l'Ontario selon qu'ils appartiennent à la minorité ou à la majorité linguistique, cet article s'interroge sur trois thématiques interreliées : celle de la perception de la compétence linguistique, celle de l'usage de la langue en fonction des interlocuteurs et celle des représentations culturelles. Après avoir décrit une série d'analyses quantitatives, il conclut : 1) que francophones et anglophones tendent à porter un jugement favorable sur leur aptitude à parler leur propre langue, mais que les francophones se font un peu plus critiques que les anglophones ; 2) que le jeune francophone, en s'éloignant de la sphère familiale, réduit son recours à sa langue maternelle ; 3) que les francophones s'avèrent plus pessimistes à l'égard de la culture française que ne le sont même les anglophones. By examining young students from Northeastern Ontario, depending on whether they belong to the linguistic minority or majority, the article covers three interrelated themes: perception of linguistic competency, usage of a language depending on the speaker, and cultural representations. After having described a series of quantitative analyses, the article concludes that: 1) francophones and anglophones tend to favourably assess their aptitude to speak their own language, but that francophones criticize themselves slightly more than anglophones; 2) young francophones, when moving away from the family circle, use their mother tongue less; 3) francophones are more pessimistic than anglophones when it comes to French culture.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".