Le développement du sentiment de pouvoir agir des jeunes face aux changements climatiques à l’école secondaire
Bibliographic record
Abstract
Devant l’urgence d’agir face aux changements climatiques, les jeunes forment une génération qui a beaucoup à perdre ou à gagner des décisions prises par les groupes plus âgés. Malgré un fatalisme bien documenté, il apparaît de plus en plus évident que les jeunes sont particulièrement concernés par ce phénomène. Une éducation favorisant le développement du pouvoir agir semble ainsi des plus appropriées pour promouvoir une plus grande justice sociale et environnementale. De plus, il s’avère pertinent de s’attarder aux dimensions affectives et, plus particulièrement, à ce que nous nommons le sentiment de pouvoir agir (Morin, Therriault et Bader, 2019). Cet article présente divers appuis théoriques qui illustrent la pertinence de ce concept. Des résultats issus d’entretiens de groupe menés auprès de jeunes Québécoises et Québécois du secondaire montrent également comment le contexte scolaire peut influencer ce sentiment de pouvoir agir.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".