L'école telle qu'ils la voient: Validation d'une mesure des perceptions du contexte scolaire par les élèves du secondaire.
Bibliographic record
Abstract
The purpose of this study was to develop a French-language questionnaire to measure students' perceptions of the teaching practices to which they are exposed (goal structures and teacher-student relations). The primary objective was to assess the psychometric qualities of the questionnaire with 1,265 students distributed among various high school years. Internal consistency and test-retest stability of the scales proved to be entirely satisfactory. Results of confirmatory factorial analysis demonstrate the scales' construction validity. Results of multiple regressions also indicate that retained perceptions are consistent predictors of students' motivational directions and emotional experience at school, regardless of their socio-demographic or academic characteristics. The study's second goal was to contribute to the theoretical debate over what students' perceptions reflect. Such perceptions have shown to have little dependency on their socio-demographic or academic characteristics. Students' responses also displayed consistency in relation to their class level. Further, the effects of students' perceptions when aggregated in exogenous variables parallel such effects on an individual basis. Finally, students' perceptions are in line with those of their teachers. These results support the notion that students' perceptions are based largely on the characteristics of their school environment.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".