The Rural Clinical School of Western Australia Mindfulness Project
Bibliographic record
Abstract
Background: Medical students experience high levels of stress during their training. Literature suggests that mindfulness can reduce stress and increase self-compassion levels in medical students. Most mindfulness training programs are delivered face-to-face and require significant time commitments, which can be difficult to achieve for rurally-based students with heavy academic workloads.Aim: We sought to determine the feasibility and effectiveness of a mindfulness training program delivered online to medical students at a Rural Clinical School.Methods: An 8-week online training program was delivered to third year medical students at the Rural Clinical School of Western Australia in 2016.Using quantitative-qualitative mixed-methods approach, we measured the frequency and duration of the participants’ mindfulness meditation practice, and assessed changes in their perceived stress, self-compassion and compassion levels, as well as personal and professional attitudes and behaviours.Results: 47 students were recruited to the study. 50% of participants were practising at least weekly by the end of the 8-week program, and 32% of responding students reported practising at least weekly 6 months following the intervention. There was a statistically significant reduction in participants’ perceived stress levels and a significant increase in self-compassion at 6 month follow up. Participants reported qualitative insights about the personal and professional impact of mindfulness meditation training as well as barriers to practice.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".