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Record W3113904926 · doi:10.1002/jclp.23101

Alliance rupture and repair in early sessions of dialectical behavior therapy: The case of Rachel

2020· article· en· W3113904926 on OpenAlexaff
Tali Boritz, Sonya Varma, Christianne Macaulay, Shelley McMain

Bibliographic record

VenueJournal of Clinical Psychology · 2020
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsYork UniversityUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsAllianceBorderline personality disorderPsychologyPsychotherapistContext (archaeology)Dialectical behavior therapyDialecticInterpersonal communicationNegotiationInterpersonal relationshipTherapeutic relationshipSocial psychology

Abstract

fetched live from OpenAlex

Emotional and interpersonal instability are core features of borderline personality disorder (BPD) and can pose a challenge for the therapeutic relationship. In dialectical behavior therapy (DBT) for BPD, ruptures in the therapeutic alliance are considered through a behavioral lens that examines the client's relational learning history, the function and context of the rupture, as well as the patterns of emotional processing difficulties that underlie interpersonal conflict. In this article, we use the case of Rachel to illustrate how alliance-focused approach can be integrated with DBT case formulation to enhance treatment planning and the successful negotiation of alliance ruptures.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.099
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.235
GPT teacher head0.529
Teacher spread0.293 · 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.

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

Citations5
Published2020
Admission routes1
Has abstractyes

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