L’empathie chez des étudiants en santé mentale en contexte de diversité
Bibliographic record
Abstract
L’empathie, capacité affective et cognitive motivant à aider autrui, est essentielle aux professionnels en santé, mais peu étudiée chez des étudiants en santé mentale (SM). Cette étude compare différentes composantes du continuum empathique entre ces étudiants et ceux d’autres domaines (AD). 41 étudiants de premier cycle ont été recrutés, formant deux groupes: SM (n = 21 ; M = 22.43 ; É.-T. = 2.84 ; 12 femmes) ; AD (n = 20 ; M = 23.25 ; É.-T. = 4.35 ; 10 femmes). Les participants ont effectué une tâche où des agents virtuels (AV) diversifiés montraient un visage neutre, des expressions de douleur ou de tristesse. Les étudiants du groupe SM n’ont pas perçu plus d’intensité des états affectifs, ni montré plus d’empathie, mais ont offert davantage d’aide que les étudiants du groupe AD (p = .03, d = .64). Les deux groupes ont accordé plus d’aide aux patients appartenant à une minorité visible qu’aux patients blancs (pSM = .001 ; pAD < .001). Ces résultats soulèvent l’importance de la formation sur le comportement d’aide et de l’exposition à la diversité dans les programmes de santé mentale.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".