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Record W3166801878 · doi:10.1111/bjc.12313

Fear of compassion is associated with treatment ambivalence and negative expectations for treatment in people with anxiety

2021· article· en· W3166801878 on OpenAlexaff
Olivia A. Merritt, Christine Purdon

Bibliographic record

VenueBritish Journal of Clinical Psychology · 2021
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAmbivalencePsychologyAnxietyCompassionSelf-compassionClinical psychologyPsychotherapistPsychiatryMindfulnessSocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVES: Fears of compassion are hypothesized to be associated with treatment attitudes, but this relationship has not yet been explored. METHODS: Measures of fear of compassion and treatment expectations and ambivalence were administered to those with above-average anxiety (N = 302) and those who met criteria for an anxiety or related disorder (N = 40). RESULTS: In those with anxiety disorders, fear of receiving compassion and fear of self-compassion were strongly correlated with treatment ambivalence. In both samples, higher fear of receiving compassion was associated with more negative expectations for treatment. CONCLUSIONS: Fear of compassion is associated with treatment ambivalence and treatment expectations and may be an important target early in treatment. PRACTITIONER POINTS: Fears of receiving compassion and self-compassion were related to treatment ambivalence and negative treatment expectations There may be benefit in targeting fear of compassion early in treatment.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.101
GPT teacher head0.453
Teacher spread0.352 · 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 teacher head, not a consensus.

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

Citations9
Published2021
Admission routes1
Has abstractyes

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