Mindfulness and yoga self-care workshop for Northern Ugandan teachers: A pilot study
Bibliographic record
Abstract
Teacher stress is evident in many developed countries; however, teacher stress is also evident in many low-income sub-Saharan countries such as Uganda where teachers face additional challenges compared to their North American/European counterpart. The goal of this study was to pilot test a mindfulness and yoga self-care workshop designed for teachers working in post-conflict Northern Uganda to help them cope with stress. Twenty teachers participated in the workshop and were compared to a group of matched wait-list teachers on psychological well-being measures. Results show that self-care teachers showed greater reductions in levels of anger, fear, sadness and perceived hostility, and greater increases in levels of emotional support and friendship compared to wait-list teachers. Moreover, longitudinal exploratory data analyses suggest that many of these effects gradually emerge over the course of the three-month school term. These finds are discussed in the context of how school psychologists can help teachers in developing countries through from yoga-based, mindfulness-type programs, and the need for more scaled-up research.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 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 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".