Use of Cinematic Films as a Teaching/Learning Tool for Adult Education
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
This study explores the utility of cinematic films as an adult learning/teaching tool for cultivating an appreciation of moral and ethical values among graduate‑level university students. In 2013 and 2014, film courses were offered to first‑year medical students at Aga Khan University, Karachi, Pakistan, as part of the Humanities and Social Sciences module. At the end of the module, a questionnaire‑based survey was administered to the students to evaluate the effectiveness of films as a learning tool. The majority of participants considered films to be more effective as a learning tool than the Internet or newspapers. They viewed films as an effective learning tool primarily because they provide a human connection and give insight into human psychology. After participating in the course, the participants appreciated films as a resource for learning. We conclude that cinematic films can be used as an effective supplementary adult learning/teaching tool.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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