The effectiveness of a new approach using movies in the training of medical students
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: The use of movies in medical (particularly psychiatric) education has been often limited to portraits of mental illness and psychiatrists. The Psychiatric Institute of the Università del Piemonte Orientale has a longstanding tradition of working with/on movies according to a method developed by Eugenio Torre, using dynamic images as educational incitements. Our aim is to describe the preliminary results on the impact of this intervention in medical students. METHODS: The cinemeducation project lasted 6 months, and included 12 meetings. Forty randomly selected participants were assessed with: Attitudes Towards Psychiatry Scale (ATP-30), Social Distance Scale (SDS), Interpersonal Reactivity Index (IRI), and Toronto Alexithymia Scale (TAS), both at baseline and after 6 months, when the workshop was concluded. RESULTS: A significant increase was found in the ATP-30 score, and a reduction of the SDS and IRI-Personal Distress scale scores. CONCLUSIONS: Informal feedback from participants was strongly positive. Preliminary results from the assessment of participants are encouraging. Students' attitudes towards psychiatry and ability to tolerate anxiety when experiencing others' distress improved, while stigma decreased. The evocative power of movie dynamic images, developed in the group and integrated with the help of the group leader, can enrich students' knowledge, both from a cognitive and emotional standpoint.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.015 | 0.013 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it