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Record W1984379622 · doi:10.1080/15298868.2014.996249

Self-Compassion, Stress, and Coping in the Context of Chronic Illness

2015· article· en· W1984379622 on OpenAlexaff
Fuschia M. Sirois, Danielle S. Molnar, Jameson K. Hirsch

Bibliographic record

VenueSelf and Identity · 2015
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsBrock UniversityQuebec Network for Research on AgingBishop's University
Fundersnot available
KeywordsDisengagement theoryCoping (psychology)PsychologySelf-compassionClinical psychologyStressorMindfulnessMedicine

Abstract

fetched live from OpenAlex

A recent review suggested that self-compassion promotes use of adaptive rather than maladaptive coping. Less is known about how self-compassion is linked to stress and coping in the context of a chronic stressor. Across two primarily female chronic illness samples, inflammatory bowel disease (N = 155) and arthritis (N = 164), a model linking self-compassion to lower stress through coping styles and coping efficacy was tested. Path analyses revealed significant indirect effects for adaptive coping styles (active, positive reframing, and acceptance), and negatively for maladaptive coping styles (behavioral disengagement and self-blame) in both samples. Findings suggest that the relative balance of adaptive and maladaptive coping strategies used by self-compassionate people is associated with better coping outcomes in the context of chronic illness.

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)0.003
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: none
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.328
Teacher spread0.302 · 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

Citations304
Published2015
Admission routes1
Has abstractyes

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