Learning through entertainment: The effects of Bollywood movies on the job-seeking behavior of South Asian female
Bibliographic record
Abstract
This study examined the relationship between exposure to Bollywood movies and job-seeking behavior of South Asian females. Using survey data collected from 132 female participants, we explored the effects of exposure to Bollywood movies on job search self-efficacy, enjoyment and job-seeking behavior of South Asian females living in the United States, Canada, United Kingdom, Germany, India, and Pakistan. We also applied a structural equation model to examine the role of enjoyment and job search self-efficacy in mediating the relationship between frequency of exposure to Bollywood movies and job-seeking behavior. Results indicated that exposure to Bollywood movies was positively related to enjoyment and job-seeking behavior of the female viewers of Bollywood movies. We also found a significant relationship between job search self-efficacy and job-seeking behavior. Our study offers a significant insight into the role of entertainment narratives in influencing the behavior of South Asian female audiences that hitherto remained a neglected group in media effects research.
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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 | 0.000 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".