An Exploration of Differences in Response to Music Related to Levels of Psychological Health in Adolescents
Bibliographic record
Abstract
Popular music plays a significant role in the lives of most adolescents. The central question explored is whether three groups of adolescents (psychiatrically ill, depressed, and non-clinical adolescents) differed on self-reported data on: (a) the role of popular music in their lives, and (b) in their emotional reactions to music. The next question is whether the developmental issues of gender and personality consolidation, age, and school commitment simultaneously influence how the three groups of adolescents use music in their lives and in their emotional reactions to music. The last question is whether the three groups have significantly different music preferences in the five genres of popular (rap, pop/dance, heavy metal/hard rock, classic rock, and alternative). There were 126 subjects employed in this research.\n\nI created the Walker Music Questionnaire (WMQ) to explore the role and importance that music plays in the lives of the adolescents. A factor analysis found five factors (Introspection, Identity-Music, Discerning Music Identity, Fantasy-Rebellion, and Identity-Self). The Adolescent Semantic Differential Scales (ASDS) measured the adolescents’ emotional responses to 10 pieces of popular music representing the five genres described above. These scales are well known measures of emotional response and I added eight adjectives that represented adolescent issues. This measure was also factor analyzed and the three factors of Evaluation, Romance, and Potency emerged. Preference for the five genres was determined from the Adolescent Semantic Differential Scales. MANOVAS were done with both sets of factors derived from the WMQ and ASDS simultaneously using the developmental variables of age group, gender, personality, and school commitment. \n\nPsychological health was found to be a significant variable. Specifically, the role of music for the depressed group was significantly different from the other two groups of adolescents. The developmental issues that remained significant were personality and school commitment. Furthermore, the psychiatrically ill group reacted more emotionally to the music than the other two groups and this remained significant even when the developmental variable of personality was considered. The three groups were not differentiated by their preference ratings on the ASDS.
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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 | 0.001 | 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 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".