Ressources personnelles, sens des études, persévérance et épanouissement : une étude longitudinale implémentant un dispositif pédagogique innovant auprès de jeunes étudiant·es français·es en contexte de COVID-19
Bibliographic record
Abstract
Cette recherche explore dans une perspective longitudinale la nature des corrélations, l’évolution des scores moyens ainsi que les interrelations entre les ressources personnelles (adaptabilité de carrière et utilisation des forces psychologiques) et d’autres variables comme le sens des études, la persévérance et l’épanouissement chez les étudiant·es. L’étude est menée dans le cadre de l’implémentation d’une approche d’enseignement réflexive durant la crise sanitaire du COVID-19. L’échantillon comprend soixante étudiant·es issu·es d’une université française. Les analyses corrélationnelles indiquent une conservation de la nature positive des relations entre certaines variables, l’apparition et la disparition de certains effets positifs dans le temps. Alors que le score moyen de sens tend à s’accroître avec le temps, celui de l’épanouissement tend à décroître. Finalement, les interrelations entre les deux ressources et l’épanouissement semblent être prégnantes. La contribution probable du dispositif est discutée.
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".