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Record W2064893173 · doi:10.1080/00223891.2014.983271

Interpersonal Assessment of Borderline Personality Disorder: Preliminary Findings

2014· article· en· W2064893173 on OpenAlexaff
David S. Kosson, Zach Walsh, M. Zachary Rosenthal, Thomas R. Lynch

Bibliographic record

VenueJournal of Personality Assessment · 2014
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsBorderline personality disorderPsychologyInterpersonal communicationClinical psychologySuicidal ideationPersonalityInterpersonal relationshipPersonality disordersPoison controlInjury preventionMedicineSocial psychology

Abstract

fetched live from OpenAlex

We examined the reliability and validity of scores on an interpersonal measure of borderline personality disorder (BPD). Ratings on the Interpersonal Measure of Borderline Personality Disorder (IM-B) were based on nonverbal behaviors and interpersonal interactions occurring during clinical interviews with 276 adults. Scores on the IM-B exhibited good reliability. IM-B scores also displayed expected patterns of associations with scores on other measures of BPD, as well as with scores on measures of affective dysfunction, interpersonal pathology, and behavioral impairment associated with BPD, including indexes of maladaptive emotion regulation, interpersonal sensitivity, and self-harm. The pattern of associations for IM-B scores was quite similar to what would be expected for a dimensional measure of BPD symptoms. Scores on the IM-B were also associated with symptoms of disorders generally comorbid with BPD. Finally, IM-B scores contributed incrementally to the prediction of interpersonal dysfunction and suicidal ideation and behavior. Discussion focuses on implications for the assessment of BPD.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.023
GPT teacher head0.377
Teacher spread0.353 · 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

Citations3
Published2014
Admission routes1
Has abstractyes

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