Passion for Violently Themed Music and Psychological Well-Being: A Survey Analysis
Why this work is in the frame
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Bibliographic record
Abstract
While the benefits to mood and well-being from passionate engagement with music are well-established, far less is known about the relationship between passion for explicitly violently themed music and psychological well-being. The present study employed the Dualistic Model of Passion to investigate whether harmonious passion (i.e., passionate engagement that is healthily balanced with other life activities) predicts positive music listening experiences and/or psychological well-being in fans of violently themed music. We also investigated whether obsessive passion (i.e., uncontrollable passionate engagement with an activity) predicts negative music listening experiences and/or psychological ill-being. Fans of violently themed music (N = 177) completed the passion scale, scale of positive and negative affective experiences, and various psychological well- and ill-being measures. As hypothesised, harmonious passion for violently themed music significantly predicted positive affective experiences which, in turn, predicted psychological well-being. Obsessive passion for violently themed music significantly predicted negative affective experiences which, in turn, predicted ill-being. Findings support the Dualistic Model of Passion, and suggest that even when music engagement includes violent content, adaptive outcomes are often experienced. We propose that the nature of one’s passion for music is more influential in predicting well-being than the content or valence of the lyrical themes.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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