1693 – A Pilot Project Of Cinemeducation For Medical Students: Focus On Psychiatry, Stigma, And Empathy
Bibliographic record
Abstract
Introduction Stigma on psychiatric patients is frequent not only among common people but also in healthcare professionals. Cinema might be useful tool for medical educational purposes and might help reduce negative attitudes towards mental illness. Objectives In the first place, to develop a pilot project of cinemeducation aimed at enhancing awareness and thinking over about psychiatry and stigma in medical students; secondly, to investigate students’ stigmatizing attitudes, empathy, personality and self-esteem and the impact of the cinemeducation intervention on some of these variables. Methods From October 2012 to January 2013, students will attend six cinemeducation lectures focused on helping relationships. Sociodemographic data will be collected at baseline only, and so will the Temperament and Character Inventory. In order to investigate attitudes towards psychiatry, self-esteem, alexithtymia and empathy, students will be asked to fill in some self-administered scales, both at baseline and at the end of the six lectures. These scales will include: Attitudes Towards Psychiatry Scale, Social Distance Scale, Dangerousness Scale, Mental Illness: Clinicians’ Attitudes Scale, Interpersonal Reactivity Index, Rosenberg Self-Esteem Scale, Toronto Alexithymia Scale. Results/conclusions The correlation among the variables assessed will be investigated in order to understand whether certain personality traits, self-esteem and empathic attitude influence students’ beliefs about psychiatry. The impact of the cinemeducation lectures on stigmatizing attitudes will be investigated as well.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".