Attitudes toward mental illness in medical students: does personal and professional experience with mental illness make a difference?
Bibliographic record
Abstract
PURPOSE: Medical students may be susceptible to emotional difficulties because of the high levels of both academic and interpersonal stress associated with their training. This study examined attitudes toward mental illness in medical students. It was expected that people who had experience of mental illness, either in their personal lives or through their professional experience, would have more positive attitudes toward students with mental health problems than would people who had not had such experience. METHOD: Faculty and staff employed by a large American university medical centre completed a questionnaire package including several measures designed to assess specific attitudes toward medical students with emotional problems. Data were also collected on the degree to which specific mental disorders were thought to interfere with the performance of medical students. RESULTS: In general, prior experience with mental illness, either through personal or professional activities, was associated with more positive attitudes about students with mental illness. However, the pattern of findings was complex. CONCLUSION: Future research should examine the extent to which specific mental illnesses actually affect the performance of medical students.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".