The impact of group music therapy for individuals with eating disorders
Bibliographic record
Abstract
This mixed-methods study examined the impact of group music therapy upon individuals receiving inpatient treatment for eating disorders. There was a total of 21 participants ranging between the ages of 16 and 58. Participants’ lived experiences of music therapy, including music’s effects on mood and emotion regulation, were explored. Data collected through the “PANAS” (Positive and Negative Affect Scale) (Watson et al., 1988), and subscales of the “DERS” (Difficulties in Emotion Regulation Scale) (Gratz & Roemer, 2004), and “ERQ” (Emotion Regulation Questionnaire) (Gross & John, 2003), demonstrated that participants experienced a decrease in negative affect, as well as an increased ability to express emotion after participating in music therapy. Data collected through audio recordings and transcriptions of music therapy and focus group sessions suggested that, through creating and playing music together, participants discovered music’s ability to represent various aspects of themselves and their recovery journeys, music’s potential to support them to externalise, shift, and stay with emotions, and music’s capacity to foster social connection.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".