Élaboration d’une échelle de motivation aux études d’ingénieurs en contexte francophone
Bibliographic record
Abstract
En prenant appui sur la théorie de l’autodétermination, cette recherche présente l’élaboration d’une échelle de mesure de la motivation aux études d’ingénieurs en contexte francophone. Trois collectes de données ont été menées (N = 462, 545 et 864) auprès d’un total de 1871 élèves ingénieurs (59,2 % de sexe féminin). Les résultats des analyses factorielles exploratoires et confirmatoires appuient une structure à sept dimensions : 1) la motivation intrinsèque, les motivations extrinsèques par régulation 2) identifiée – altruisme, 3) introjectée – ego, 4) introjectée – conscience, 5) externe – sécurité, 6) externe – prestige social et, enfin, 7) l’amotivation. Les dimensions altruisme et sécurité sont spécifiques aux études d’ingénieurs. L’échelle proposée satisfait aux critères de fiabilité communément admis et réunit plusieurs éléments de preuves de validité.
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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 | 0.026 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".