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Record W3208935572 · doi:10.1002/jclp.23275

Lessening of the pervasiveness of interpersonal patterns in borderline personality disorder explains symptom decrease after treatment: A process analysis

2021· article· en· W3208935572 on OpenAlexaff
Uëli Kramer, Hélène Beuchat, Loris Grandjean, Federico Seragnoli, Slimane Djillali, Chloe Choffat, Elisa George, Jean‐Nicolas Despland, Stéphane Kolly, Yves de Roten

Bibliographic record

VenueJournal of Clinical Psychology · 2021
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsUniversity of Windsor
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsBorderline personality disorderPsychologyInterpersonal communicationClinical psychologyPsychotherapistSession (web analytics)Randomized controlled trialInterpersonal relationshipPersonalitySocial psychologyMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Problematic interpersonal patterns, as defined by the core conflictual relationship theme (CCRT) method, are part of the clinical presentation of clients with borderline personality disorder (BPD). So far, we do not know whether the pervasiveness of interpersonal patterns changes and if this change explains therapy outcome. METHODS: In a secondary analysis of a randomized controlled trial on a brief version of psychiatric treatment for BPD, a treatment with a psychodynamic focus, the present study included N = 39 clients. One early session and one late session of the treatment were transcribed and analyzed using the CCRT method. RESULTS: It appeared that pervasiveness of the predominant CCRT decreased over the course of the brief treatment; this effect was robust across treatment conditions. Change in pervasiveness in any CCRT component explained a small portion of variance of the decrease in borderline symptoms observed at the end of treatment. DISCUSSION: Lessening of pervasiveness of problematic in-session interpersonal patterns may be hypothesized as potential mechanism of effective treatment for BPD which should be tested in controlled designs.

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)0.009
metaresearch head score (Gemma)0.024
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.084
GPT teacher head0.477
Teacher spread0.392 · 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

Citations8
Published2021
Admission routes1
Has abstractyes

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