Equitable Mindfulness: The practice of mindfulness for all
Bibliographic record
Abstract
The benefits of mindfulness are well-documented; however, these benefits may not be evenly distributed across communities. Equitable Mindfulness aims to make these benefits accessible to a wider and more inclusive audience. The aim of this study was to investigate the applicability of Equitable Mindfulness and systemic barriers that prevent mindfulness programs from being equitably accessed across communities. Twenty-one participants were recruited for qualitative in-depth interviews during a 2-day mindfulness conference. The constant comparison method was used to iteratively identify and categorize themes that emerged within and across interviews. Five dominant themes emerged from the data as follows: inherent equitability, accessibility, inclusiveness, awareness and knowledge-sharing, and acknowledgement of multiple perspectives. Having an applicable and meaningful term to use when describing mindfulness as an inclusive and equitable practice can facilitate the exploration of a new area of research. There is a need for future initiatives aimed at making mindfulness trainings and programs more equitable and accessible to all, regardless of socioeconomic status, race/ethnicity, or abilities/disabilities.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".