Vécu scolaire et représentations identitaires : ce que l’expérience scolaire des élèves au secondaire issu·e·s des minorités visibles révèle de leur environnement socioéducatif
Bibliographic record
Abstract
Cet article vise à comprendre la manière dont les élèves au secondaire issu·e·s des minorités visibles décrivent leur expérience scolaire dans une région à faible densité ethnoculturelle. L’étude se base sur dix entretiens semi-dirigés réalisés auprès d’élèves fréquentant deux écoles de niveau secondaire de Saguenay. Les résultats éclairent sur leur rapport aux autres et à l’environnement socioéducatif dans lequel des préjugés ethnoraciaux y sont soulignés. Pour une école inclusive forte de sa diversité, ces préjugés mettent en évidence les enjeux entourant le mieux vivre ensemble et la nécessité d’organiser des activités socioéducatives créant des occasions d’échange pour l’ensemble des élèves.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.015 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".