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Record W2338879909 · doi:10.36834/cmej.36643

A pilot feasibility study of a peer-led mindfulness program for medical students

2016· article· en· W2338879909 on OpenAlex
Marlon Danilewitz, Jacques Bradwejn, Diana Koszycki

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Medical Education Journal · 2016
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsMontfort HospitalUniversity of OttawaUniversity of British Columbia
Fundersnot available
KeywordsMindfulnessMedical educationComputer sciencePsychologyMedicinePsychotherapist

Abstract

fetched live from OpenAlex

BACKGROUND: Mindfulness meditation has gained momentum in medical circles for bolstering wellbeing and other facets of professionalism. This study evaluated the feasibility and benefits of a peer-led mindfulness meditation program (MMP) on medical student wellness and professionalism. METHOD: Pre-clerkship students were recruited and randomized to the 8-week MMP or wait-list. Feasibility outcomes included ease of recruitment, program attendance and homework compliance. Other outcomes included self-reported psychological distress, empathy, self-compassion, mindfulness, altruism and program satisfaction. RESULTS: The MMP decreased levels of stress and enhanced mindfulness, self-compassion and altruism from baseline to post-study. Changes were not significant for the wait-list condition. Although satisfaction with the MMP was high compliance was suboptimal. CONCLUSIONS: A peer-led MMP is feasible and may be a promising approach to enhance medical student wellbeing. Further research is needed to explore strategies to improve program compliance in this student population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.553
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.2740.000

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.

Opus teacher head0.042
GPT teacher head0.429
Teacher spread0.387 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it