An online mindful self-compassion group offered during COVID-19: reflections on group work elements
Bibliographic record
Abstract
While self-compassion has enjoyed a long and well-regarded history within the discipline of psychology, its presence within social work remains largely unexplored and poorly understood. This article outlines the development, recruitment, and implementation of a Mindful Self-Compassion group which took place during the COVID-19 pandemic and was co-facilitated by the first and second authors, two university professors (one a social worker and the other a registered dietitian), both recently trained from the Center for Mindful Self-Compassion as teachers in mindful self-compassion. The program was originally developed by Drs. Germer and Neff, key researchers on self-compassion. Drawing from historical and contemporary group work research, reflections on the group stages, member roles, and co-facilitation components are offered, particularly within the context of an online group. Observations on the group’s strengths and challenges are considered as well as suggestions for future offerings of the group.
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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 | 0.012 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".