Mindfulness as a moderator of associations between intergroup bias and psychological health: A scoping review.
Bibliographic record
Abstract
OBJECTIVES: The health repercussions of intergroup bias on members of minoritized groups are massive. This scoping review examines the available peer-reviewed evidence on mindfulness as a moderator of associations between intergroup bias and psychological health indicators. METHOD: Peer-reviewed studies of mindfulness moderating associations between intergroup bias and psychological health indicators through May 2024 were surveyed, with no limitations in terms of intergroup bias variety, study context, participants' characteristics, or date of publication. Sixteen articles were eligible and reviewed. RESULTS: Trait mindfulness moderated negative associations between intergroup bias and psychological health indicators in most studies reviewed, such that the associations are reduced or disappear at high, compared to low, levels of trait mindfulness. CONCLUSIONS: Important caveats of this protective role of mindfulness are discussed, such as the lack of diversity in mindfulness research and interventions, and the potentially silencing effect of mindfulness as construed in mainstream Western contexts. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
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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 | 0.017 | 0.085 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 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".