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Childhood Maltreatment, Adolescent Psychological Difficulties and Borderline Personality Features: A Person-Centered Approach

2018· article· en· W2784851390 on OpenAlexaff
Michaël Bégin, Karin Ensink, Sarah Chabot, Lina Normandin, Peter Fonagy

Bibliographic record

VenueAdolescent Psychiatry · 2018
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsNeglectPsychologyAntipathySexual abuseClinical psychologyPsychological abuseBorderline personality disorderChild abusePoison controlPsychiatryPhysical abuseInjury preventionSuicide preventionPersonalityMedicineMedical emergency

Abstract

Background: Childhood maltreatment represents a major and preventable risk factor for psychiatric difficulties. However, the majority of studies treat maltreatment experiences as if they occur alone, but evidence suggests co-occurrence of maltreatment is the norm rather than the exception. Little is known regarding consequences of particular types and combinations of childhood maltreatment in adolescence. Objective: To identify classes of maltreatment types and combinations using a personcentered approach (Latent Class Analysis) and then to examine whether adolescents who experienced specific types and combinations of maltreatment reported more borderline personality traits, self-injury or internalizing and externalizing difficulties. Methods: Participants included 327 adolescents and young adults aged 12 to 21 recruited from schools, colleges and a university and who completed a series of online questionnaires. Results: Four subgroups of maltreatment were identified including sexual abuse, physical abuse, neglect co-occurring with physical and sexual abuse, as well as parental antipathy cooccurring with neglect and physical abuse. With regard to personality disorder traits, adolescents who experienced sexual abuse endorsed significantly more difficulties, as did adolescents who experienced antipathy. With regard to self-injury, adolescents who experienced sexual abuse, as well as those who experienced neglect were at higher risk. With regard to internalizing and externalizing difficulties, adolescents who experienced sexual abuse reported more internalizing difficulties, whereas those who experienced antipathy and neglect reported more internalizing and externalizing difficulties. Conclusion: Awareness of specific types and co-occurring maltreatment as risk factors for personality difficulties and self-injury has implications for improving trauma informed treatment. Keywords: Maltreatment, adolescence, borderline, self-injury, internalizing, externalizing.

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: aff_core · design weight: 5595.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Latent class analysis of childhood maltreatment types and adolescent borderline features; latent class analysis is used, not studied, and the object is psychopathology.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

This psychological study examines childhood maltreatment and adolescent difficulties, not research itself.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Clinical/developmental psychology on childhood maltreatment and adolescent outcomes.

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)0.002
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.002
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 head0.035
GPT teacher head0.296
Teacher spread0.262 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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