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Record W4294921638 · doi:10.1002/cpp.2784

Interpersonal guilt and the working alliance in psychotherapy: The moderating role of childhood experience

2022· article· en· W4294921638 on OpenAlexaff
Katie Aafjes‐van Doorn, Xiaochen Luo, David Kealy, James McCollum, George Silberschatz

Bibliographic record

VenueClinical Psychology & Psychotherapy · 2022
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAlliancePsychologyModerationInterpersonal communicationPsychotherapistDistressClinical psychologyPersonal distressSocial psychology

Abstract

fetched live from OpenAlex

Interpersonal guilt often encompasses pathogenic beliefs that imply omnipotent responsibility for others and concerns about abandoning, humiliating or threatening others. This study sought to examine how interpersonal guilt may influence patients' and therapists' ratings of early working alliance and the potential moderating effect of perceived adverse parenting in childhood. Ninety-five patients and their 19 therapists in an outpatient psychotherapy clinic rated their early working alliance after the first and the fifth session in treatment. We conducted separate moderation analyses for patient and therapist-reported working alliance and controlled for psychological distress at baseline. Results suggest that perceived adverse parenting in childhood significantly moderated the effect of interpersonal guilt on the working alliance in such a way that for patients reporting very low levels of perceived adverse experiences, the interpersonal guilt beliefs had a positive effect on working alliance, whereas for those with very high levels of perceived adverse experiences, interpersonal guilt had a negative effect on working alliance. This same pattern of moderation was found for patient- and therapist-reported working alliance at session 1 and therapist-reported working alliance at session 5. Thus, although the effect of interpersonal guilt on the working alliance depends somewhat on the perspective of the working alliance rating (patient or therapist), it mainly depends on developmental experiences of the patient.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.106
GPT teacher head0.454
Teacher spread0.348 · 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

Citations6
Published2022
Admission routes1
Has abstractyes

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