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Record W2029247264 · doi:10.1002/cpp.544

Mindfulness‐based stress reduction and attentional control

2007· article· en· W2029247264 on OpenAlexafffund
Nicole D. Anderson, Mark A. Lau, Zindel V. Segal, Scott R. Bishop

Bibliographic record

VenueClinical Psychology & Psychotherapy · 2007
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsCentre for Addiction and Mental HealthPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
FundersCanadian Institutes of Health Research
KeywordsMindfulnessPsychologyAttentional controlMindfulness-based stress reductionStroop effectCognitive psychologyControl (management)Stress reductionStress (linguistics)Clinical psychologyDevelopmental psychologyCognitionPsychiatryArtificial intelligenceComputer science

Abstract

fetched live from OpenAlex

Abstract This study was designed to test the hypothesis that mindfulness involves sustained attention, attention switching, inhibition of elaborative processing and non‐directed attention. Healthy adults were tested before and after random assignment to an 8‐week Mindfulness‐Based Stress Reduction (MBSR) course (n = 39) or a wait‐list control (n = 33). Testing included measures of sustained attention, attention switching, Stroop interference (as a measure of inhibition of elaborative processing), detection of objects in consistent or inconsistent scenes (as a measure of non‐directed attention), as well as self‐report measures of emotional well‐being and mindfulness. Participation in the MBSR course was associated with significantly greater improvements in emotional well‐being and mindfulness, but no improvements in attentional control relative to the control group. However, improvements in mindfulness after MBSR were correlated with improvements in object detection. We discuss the implications of these results as they relate to the role of attention in mindfulness. Copyright © 2007 John Wiley & Sons, Ltd.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.091
GPT teacher head0.473
Teacher spread0.382 · 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

Citations325
Published2007
Admission routes2
Has abstractyes

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