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Record W1994640040 · doi:10.1002/smi.1305

Exploring self‐compassion and empathy in the context of mindfulness‐based stress reduction (MBSR)

2010· article· en· W1994640040 on OpenAlexafffund
Kathryn A. Birnie, Michael Speca, Linda E. Carlson

Bibliographic record

VenueStress and Health · 2010
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsUniversity of Calgary
FundersAlberta Cancer FoundationHealth Research Board
KeywordsMindfulnessEmpathySelf-compassionPsychologyMindfulness-based stress reductionClinical psychologyEmpathic concernStress reductionDistressContext (archaeology)PsychotherapistCompassionSpiritualityMoodPersonal distressPerspective-takingSocial psychologyMedicine

Abstract

fetched live from OpenAlex

Abstract Mindfulness‐based stress reduction (MBSR) programmes have demonstrated beneficial outcomes in a variety of populations. Self‐compassion and empathy have theoretical connections to mindfulness, the key element of the MBSR programme; however, previous studies examining the programme's impact on self‐compassion or empathy have demonstrated mixed results. This study examined the impact of MBSR on self‐compassion and empathy, as well as on mindfulness, symptoms of stress, mood disturbance and spirituality in a community sample. Significant reductions in symptoms of stress and mood disturbance, as well as increases in mindfulness, spirituality and self‐compassion were observed after programme participation. With regards to empathy, a significant increase was seen in perspective taking and a significant decrease in personal distress; no significant change was observed for empathic concern. Changes in self‐compassion were predicted by changes in mindfulness. Self‐compassion and aspects of empathy revealed strong associations with psychological functioning. Implications of MBSR as an intervention for enhancing self‐compassion and empathy are discussed. Copyright © 2010 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)0.001
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
Metaresearch0.0010.001
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 science0.0000.001
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 head0.107
GPT teacher head0.368
Teacher spread0.260 · 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

Citations598
Published2010
Admission routes2
Has abstractyes

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