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Record W3004252340 · doi:10.7870/cjcmh-2019-010

A Community-Based Evaluation of Brief Guided Mindfulness in the Management of Stress and Difficult Emotions

2020· article· en· W3004252340 on OpenAlexaffvenue
Shaya MacDonald, Susan Korol, Todd Vassallo, Cathy MacDougall

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2020
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsCape Breton University
Fundersnot available
KeywordsMindfulnessAnxietyClinical psychologyPsychologyStress managementIntervention (counseling)HappinessQuality of life (healthcare)Depression (economics)Affect (linguistics)Perceived Stress ScalePsychotherapistStress (linguistics)Psychiatry

Abstract

fetched live from OpenAlex

The current study evaluated the effectiveness of a novel three-hour Guided Mindfulness Program on participants’ management of depression, anxiety and stress. The intervention included an educational component emphasizing the psychological value of mindfulness practice combined with a practical training component in mindfulness techniques. The Depression Anxiety Stress Scale was administered at three points in time before and after participation in the program. Additionally, semi-structured interviews were conducted to explore perceived quality of life, happiness, and stress 4 to 8 weeks following the program. All participants reported improvements in overall well-being and reported significant decreases in negative affect when comparing pre-program scores (baseline) to follow-up scores. Notably, qualitative interview results indicated that participants attributed most positive post-program results to informal mindfulness practice.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.147
GPT teacher head0.411
Teacher spread0.264 · 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 designObservational
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

Citations0
Published2020
Admission routes2
Has abstractyes

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