The Role of Music Therapy in Developing Healthy Coping Skills for Adolescents Experiencing Eating Disorders: A Philosophical Inquiry
Bibliographic record
Abstract
As music therapy services continue to become more accessible, music therapists are working with a wider range of clientele with specific needs. Adolescents experiencing eating disorders (AEED) are among those with whom music therapists work to provide support throughout the treatment process. The purpose of this philosophical inquiry was to synthesize existing knowledge and evidence to substantiate the argument that music therapy (as realized within three categories of experience) is an ideal way to support the development of healthy coping skills for adolescents experiencing eating disorders. The methodology involved clarifying the research terms, exposing and evaluating underlying assumptions, relating ideas as systematic theory, and using argument as a primary mode of inquiry. The findings discussed how adolescents engage with music, current approaches in music therapy for the targeted clientele, and considerations for music therapists working with AEED. The findings confirm that music therapy can be a valuable resource for AEED, providing a space to reflect on coping patterns through composition, improvisation, and receptive music therapy experiences.
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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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.020 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".