L’accès des jeunes provenant de milieux défavorisés aux activités scientifiques extrascolaires : une question d’équité
Bibliographic record
Abstract
Cet article étudie la question de l’iniquité d’accès aux activités parascolaires et aux programmes communautaires en sciences chez les jeunes provenant de milieux défavorisés. Nous avons examiné comment les jeunes profitent de leurs temps libres et nous sommes intéressés à la vulgarisation des sciences, comme le proposent les musées, certaines activités parascolaires et programmes communautaires, et à son accessibilité dans le but de permettre le développement de la culture scientifique pour tous. Notre synthèse critique souligne la problématique d’exclusion en sciences, mais relève aussi l’intérêt de documenter diverses possibilités d’entrée dans la culture scientifique. À travers les descriptions de trois programmes communautaires, nous illustrons ces possibilités en soulignant l’importance de telles opportunités dans la vie des jeunes des milieux défavorisés.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".