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Record W2082772986 · doi:10.1037/0021-843x.115.4.730

The role of childhood abuse and neglect in the sensitization to stressful life events in adolescent depression.

2006· article· en· W2082772986 on OpenAlexaff
Kate L. Harkness, Alanna E. Bruce, Margaret N. Lumley

Bibliographic record

VenueJournal of Abnormal Psychology · 2006
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsQueen's University
Fundersnot available
KeywordsNeglectPsychologyStressorChild abuseDepression (economics)Childhood abuseClinical psychologyPsychiatryPoison controlInjury preventionPsychological abuseDevelopmental psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

This study examined the role of childhood abuse and neglect in sensitizing adolescents to the effects of proximal stressful life events in a cross-sectional sample of 103 depressed and nondepressed adolescents. Consistent with hypotheses, adolescents with a history of childhood abuse and/or neglect reported a lower level of threat of stressful life events prior to episode onset than that reported by those without. This effect was specific to those on their 1st episode of depression and was specific to independent events (i.e., stressors outside of adolescents' control). Further, this effect was robust when controlling for level of chronic difficulties, which was higher in those with childhood abuse and/or neglect. The authors suggest that childhood abuse and/or neglect may be an important risk factor that sensitizes individuals to the effects of acute independent life events.

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)0.005
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.009
GPT teacher head0.285
Teacher spread0.276 · 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

Citations274
Published2006
Admission routes1
Has abstractyes

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