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Record W2047869969 · doi:10.1177/1077559512461173

Using a Sibling Design to Compare Childhood Adversities in Female Patients With BPD and Their Sisters

2012· article· en· W2047869969 on OpenAlex

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

VenueChild Maltreatment · 2012
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsMcGill UniversityJewish General HospitalMcGill University Health Centre
Fundersnot available
KeywordsDysfunctional familyBorderline personality disorderNeglectPsychopathologySiblingChild abusePhysical abusePsychologyPoison controlClinical psychologyPsychiatryPsychological abuseProbandInjury preventionMedicineDevelopmental psychologyMedical emergency

Abstract

fetched live from OpenAlex

Abuse and neglect are well-established risk correlates of borderline personality disorder (BPD). The goal of this study was to examine whether BPD probands can be differentiated from their sisters with respect to a range of developmental adversity and maltreatment indicators, including retrospective self-reports of past experiences of childhood abuse and neglect, dysfunctional parent-child relationships and peer victimization and dysfunctional peer relationships. A total of 53 patients with BPD were compared to 53 sisters who were currently free of psychopathology on measures assessing childhood adversities. Both probands and sisters reported similar prevalence of intrafamilial abuse, although BPD patients reported more severe physical and emotional abuse. BPD patients reported higher prevalence of physical abuse by peers. These findings generally support the principle of multifinality, in which similar histories of adversities can be associated with a variety of outcomes, ranging from psychopathology to resilience.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.049
GPT teacher head0.295
Teacher spread0.245 · 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