Music and refugees’ wellbeing in contexts of protracted displacement
Bibliographic record
Abstract
Objectives: The aim of this study was to improve understanding of the relationship between music practice and the wellbeing of young refugees, by examining the perspectives of Yazidi music participants aged 11–18. Design: Focused exploratory case study design, informed by the Ottawa Charter for Health Promotion which provided the conceptual framework for the research. Setting: A camp in northern Greece, where people from Iraq and Syria had been living for up to a year. Method: Data were collected over a 5-week period through participant observation of individual music lessons and group music workshops involving between 3–12 participants. In addition, semi-structured interviews were conducted with a sub-sample of six participants (three boys and three girls) aged 11–18. Results: Findings indicate that activities involving music practice can impact positively on young people’s wellbeing, enabling the development of emotional expression, improved social relations, self-knowledge and positive self-identification, and a sense of agency. Conclusion: The positive impacts of music practice noted here suggest it has the potential to be a promising health promotion approach for young refugees, by helping to develop supportive environments, through which community action can be strengthened and personal skills developed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".