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Record W2161013985 · doi:10.1177/0008417413475598

Teaching mindfulness to occupational therapy students: Pilot evaluation of an online curriculum

2013· article· en· W2161013985 on OpenAlexaffvenue
Denise Reid

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2013
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMindfulnessCurriculumOccupational therapyPsychologyClinical psychologyPsychotherapistMedical educationMedicinePedagogyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: How mindfulness can be learned by occupational therapy students to manage their own self-care processes has not been fully examined as yet. PURPOSE: This article describes an online curriculum approach for teaching a general introductory mindfulness course and examines outcomes with master's entry-level occupational therapy students. METHOD: Fifteen students participated in an 8-week online mindfulness curriculum and completed a pre- and post-training survey. The Mindfulness Attention and Awareness Scale (MAAS) was used to measure mindfulness. Demographic, MAAS-scored mindfulness, and clinical utility data were collected. RESULTS: Results showed a statistically significant change (t = -4.82, p = 0.002) in MAAS mindfulness scores from the program start to end. Informal practice exercises and guided meditations were perceived by participants as being more helpful ways for developing an understanding and approach to mindfulness than were readings about mindfulness. IMPLICATIONS: This study suggests that mindfulness can be taught using an online approach.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.253
GPT teacher head0.472
Teacher spread0.219 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations36
Published2013
Admission routes2
Has abstractyes

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