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Record W2017009454 · doi:10.1080/16506073.2014.998705

Therapist Awareness of Client Resistance in Cognitive-Behavioral Therapy for Generalized Anxiety Disorder

2015· article· en· W2017009454 on OpenAlexafffund
Kimberley M. Hara, Henny A. Westra, Adi Aviram, Melissa L. Button, Michael J. Constantino, Martin M. Antony

Bibliographic record

VenueCognitive Behaviour Therapy · 2015
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsToronto Metropolitan UniversityYork University
FundersCanadian Institutes of Health Research
KeywordsPsychologyWorryClinical psychologyAnxietyCognitive behavioral therapyContext (archaeology)CovertResistance (ecology)PsychotherapistCognitionConcordancePsychiatryMedicine

Abstract

fetched live from OpenAlex

Clients' resistance relates negatively to their retention and outcomes in psychotherapy; thus, it has been increasingly identified as a key process marker in both research and practice. This study compared therapists' postsession ratings of resistance with those of trained observers in the context of 40 therapist-client dyads receiving 15 sessions of cognitive-behavioral therapy for generalized anxiety disorder. Therapist and observer ratings were then examined as correlates of proximal (therapeutic alliance quality and homework compliance) and distal (posttreatment worry severity) outcomes. Although there was reasonable concordance between rater perspectives, observer ratings were highly and consistently related to both proximal and distal outcomes, while therapist ratings were not. These findings underscore the need to enhance therapists' proficiency in identifying important and often covert in-session clinical phenomena such as the cues reflecting resistance and noncollaboration.

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)0.004
metaresearch head score (Gemma)0.023
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.149
GPT teacher head0.447
Teacher spread0.298 · 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

Citations32
Published2015
Admission routes2
Has abstractyes

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