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Record W2060643348 · doi:10.1080/15299732.2013.769478

Dissociative Symptoms Over a Year in a Sample of Sexually Abused Children

2013· article· en· W2060643348 on OpenAlexaff
Marie-Josée Bernier, Martine Hébert, Delphine Collin‐Vézina

Bibliographic record

VenueJournal of Trauma & Dissociation · 2013
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsMcGill UniversityUniversité du Québec à Montréal
Fundersnot available
KeywordsDissociativeSexual abuseDissociative disordersPsychologyChild sexual abuseChild abusePsychological interventionPsychiatryClinical psychologyPoison controlInjury preventionMedicineMedical emergency

Abstract

fetched live from OpenAlex

This study aims to document the evolution of dissociative symptoms over time in preschoolers who disclose sexual abuse. Specifically, this study explores the frequency of dissociative symptoms as a function of child gender. A follow-up evaluation was conducted 1 year after initial disclosure among a sample of 48 sexually abused children, and their results were contrasted with those of a control group composed of 71 non abused children. Children's dissociative symptoms were evaluated by non-offending parents. Data showed that children reporting sexual abuse displayed a greater frequency of dissociative symptoms than non-sexually abused children at both evaluation times. Further analysis indicated that the evolution of dissociative symptoms in sexually abused children may be gender related. Although a decline in dissociation symptoms over time was evident for sexually abused girls at follow-up, sexually abused boys displayed greater dissociative symptoms. Results are discussed in terms of their implications for interventions for sexually abused children.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.033
Threshold uncertainty score0.999

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)0.0010.000

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 head0.010
GPT teacher head0.283
Teacher spread0.273 · 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

Citations57
Published2013
Admission routes1
Has abstractyes

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