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Record W2158411811 · doi:10.1521/pedi.2007.21.6.664

A Five-Year Follow-Up of Patients With Borderline Pathology of Childhood

2007· article· en· W2158411811 on OpenAlexaff
Phyllis Zelkowitz, Joel Paris, Jaswant Guzder, Ronald B. Feldman, Carmella Roy, Lindsay Rosval

Bibliographic record

VenueJournal of Personality Disorders · 2007
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsPsychopathologyPsychologyBorderline personality disorderClinical psychologyPersonality pathologyPsychiatryPersonalityPediatricsPersonality disordersMedicine

Abstract

fetched live from OpenAlex

Borderline pathology of childhood (BPC) may be a precursor of personality disorders. There is a lack of data concerning outcome in adolescence. A group of 59 adolescents, who had been treated as children in a Child Psychiatry Day Hospital five to seven years earlier, was evaluated. Using the child version of the Retrospective Diagnostic Interview for Borderlines, 28 participants had been diagnosed with BPC while the remaining 31 participants who did not have a history of BPC served as the comparison group. The youth and their parents were given a battery of measures assessing current psychopathology and functional status. The group with a history of BPC was more likely than the comparison group to exhibit a combination of internalizing and externalizing behavior problems. Adolescents with a history of BPC were more impaired than the comparison group on a global measure of functional status. Compared to children with no history of BPC, children diagnosed with BPC are more likely to display poorer functioning as adolescents and continue to be at risk for psychopathology during adolescence. Future directions for research are discussed.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.280
Teacher spread0.271 · 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

Citations33
Published2007
Admission routes1
Has abstractyes

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