Intelligence émotionnelle et stratégies d’apprentissage des primo-entrants à l’Université
Bibliographic record
Abstract
Formation et profession 31(3) 2023 • 1 ésumé Parmi les facteurs explicatifs de la réussite en première année universitaire, un intérêt grandissant s' est porté sur l'intelligence émotionnelle (IE), définie comme un ensemble d'habiletés et de dispositions en lien avec la perception, la compréhension et la gestion des émotions des autres et de soi-même.Le travail présenté étudie le lien entre l'IE, mesuré par l'EI-Trait, et les stratégies d'apprentissage des étudiantes et des étudiants primo-entrants à l'université.Connaitre les caractéristiques de cette population permet de concevoir des dispositifs d'accompagnement à la réussite adaptés à leurs besoins.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".