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Record W2042152090 · doi:10.1080/14733140902804276

Cognitive errors, coping patterns, and the therapeutic alliance: A pilot study of in‐session process

2009· article· en· W2042152090 on OpenAlex
Debora A. D'Iuso, Emily Blake, Marilyn Fitzpatrick, Martin Drapeau

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.

Bibliographic record

VenueCounselling and Psychotherapy Research · 2009
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsAlliancePsychologyCoping (psychology)CognitionClinical psychologyBonferroni correctionSession (web analytics)PsychotherapistExploratory researchPsychiatryComputer science

Abstract

fetched live from OpenAlex

Abstract Aim : This exploratory study examined the association between clients’ assessment of the therapeutic alliance and their cognitive errors (CE) and coping action patterns (CAP). Method: Selected therapy sessions of clients ( N = 26) were rated for cognitive errors and coping action patterns using the CERS and CAPRS methods (Drapeau, Perry, & Dunkley, 2008; Perry, Drapeau, & Dunkley, 2005). The therapeutic alliance was assessed using the Working Alliance Inventory (WAI; Horvath & Greenberg, 1989). Results: Following Bonferroni corrections, no significant relationship was found between clients’ CEs and their ratings of the WAI. However, the ‘Negotiation’ CAP was associated with the total alliance score, and with the Task and Goal subscales. Implications: A better understanding of the cognitive processes presented by clients in session can enable clinicians to address these factors early on when the alliance is most critical.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.151
GPT teacher head0.487
Teacher spread0.336 · 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