Exploring uses of visual arts-based interventions for mental health of marginalized populations: a scoping review
Bibliographic record
Abstract
BACKGROUND: The intentions of this scoping review are to determine current uses of visual arts-based interventions for mental health and trauma support of marginalized populations, and to identify current gaps in knowledge in this emergent field. METHOD: Six databases (MEDLINE, Embase, CINAHL, Web of Science, PsycINFO, JSTOR) were searched for relevant studies. Following the PRISMA guidelines, 38 articles met the inclusion criteria. RESULTS: Most interventions focused on improving the mental health of participants, or to provide opportunities for participants to process their experiences of mental health. Participants reported increased well-being, experiences of relaxation and/or distraction, and processing of mental health experiences. They perceived arts-based interventions as helpful and developed mutual social support with other participants. CONCLUSION: Arts-based interventions have the potential to inform the development of culturally safe and relevant mental health care for marginalized populations beyond current mainstream mental health practices.
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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 | 0.016 | 0.049 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.016 | 0.013 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".