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Record W4414994254 · doi:10.1037/pst0000606

Parsing the within- and between-therapist positive regard–outcome association in cognitive–behavioral therapy for generalized anxiety disorder.

2025· article· en· W4414994254 on OpenAlex
Anuj H. P. Mehta, Michael J. Constantino, Alice E. Coyne, Averi N. Gaines, Henny A. Westra, Martin M. Antony

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePsychotherapy · 2025
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsToronto Metropolitan UniversityYork University
FundersCanadian Institutes of Health Research
KeywordsWorryAssociation (psychology)DistressAnxietyGeneralized anxiety disorderMultilevel model

Abstract

fetched live from OpenAlex

= 52) to responsively address patient resistance (Westra et al., 2016). Ten therapists treated patients in CBT only, and nine distinct therapists treated patients in MI-CBT only. Patients rated therapist-offered positive regard repeatedly across 15 sessions and their worry and general distress outcomes at baseline and posttreatment. Multilevel structural equation modeling revealed a significant association between patients' experience of higher early treatment positive regard and lower posttreatment worry and general distress at the within-therapist level. There was no between-therapist association for either outcome. Additionally, neither between-therapist positive regard nor treatment condition moderated the within-therapist effect of positive regard on either outcome. Results underscore the value of therapists working to foster their patients' felt regard irrespective of the treatment they use or the general ability they have in cultivating this relational experience. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.428
Teacher spread0.376 · 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