Exploring the Benefits of an Arts-Based Mindfulness Group Intervention for Teachers, University Students, and Women Survivors of Intimate Partner Violence
Bibliographic record
Abstract
Mindfulness-based interventions (MBIs) teach practices that encourage the development of present moment awareness through paying attention on purpose and non-judgmentally to one’s experiences, feelings, thoughts, and behaviors. We describe three graduate student research thesis projects that explored the suitability and benefits of an arts-based MBI with three different populations; teachers, university students, and women survivors of intimate partner violence. These three populations have been identified as experiencing heightened levels of stress and in need of resilience building supports. All three projects were qualitative pilot studies that explored whether participants would experience increased understanding and development of mindfulness-based skills, and improved coping with stress through participating in the program. Pre- and post-MBI group interviews were conducted, and interview data was analyzed using thematic analysis. Across the three projects, the student researchers found self-reported benefits with no adverse effects. Developing mindfulness-based skills helped the participants to build their self-awareness/understanding which in turn helped to develop emotion regulation. This is consistent with our understanding of how MBIs can build people’s capacity to make conscious choices about their feelings rather than reacting to emotional triggers. Improved coping with stress was also reported in all three projects. Developing present-moment awareness and mindfulness can help people appreciate life’s moments, and cope better with daily life stressors. Also important was the growth of self-compassion and acceptance. The results are promising and indicate that further exploration with these populations is warranted. Future research could explore an arts-based approach to facilitating mindfulness with larger numbers of participants and using control and/or comparison groups.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".