A Scoping Review of Arts-Based Mindfulness Interventions for Children and Youth
Bibliographic record
Abstract
Abstract Mindfulness-Based Interventions (MBIs) hold promise for building resilience in children/youth. We were interested in understanding why some MBIs incorporate arts-based methods, and what key findings were identified from the study of these MBIs. We used a scoping review to address our research questions. Scoping reviews can help us better understand how different types of evidence can inform practice, policy, and research. Steps include identifying research questions and relevant studies, selecting studies for analysis, charting data, and summarizing results. We identified 27 research articles for analysis. MBIs included the use of drawing, painting, sculpting, drama, music, poetry, and karate. Rationales included both the characteristics of children/youth, and the benefits of the methods. Arts-based MBIs may be more relevant and engaging especially for youth with serious challenges. Specific focus should be paid to better understanding the development and benefits of these MBIs.
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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 | 0.009 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.013 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".