Exploring a self-compassion intervention with LGBTQIA+ youth and young adults
Bibliographic record
Abstract
Introduction Sexual and gender minority young people (SGMY) experience mental health disparities and are overlooked in mental health practice and research. Self-compassion is a protective factor that promotes youth psychological well-being. This study examines SGMY perceptions of self-compassion and their experiences participating in self-compassion practices.Methods SGMY (n = 30) ages 16–29 participated in empirically supported self-compassion practices. Using grounded theory, researchers uncovered three themes.Results SGMY indicated that (1) the practice of self-compassion may help SGMY cope with internal/external homo/bi/transphobia, (2) cultivating self-compassion can enhance well-being, and (3) self-compassion can support coping with difficult thoughts and emotions.Conclusion Self-compassion may be a helpful approach for SGMY. Implications for SGMY mental health are explored.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".