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Sex Differences in Childhood Sexual Abuse and Suicide‐Related Behaviors

2011· review· en· W1851350402 on OpenAlexaff
Anne E. Rhodes, Michael H. Boyle, Lil Tonmyr, Christine Wekerle, Deborah Goodman, Bruce Leslie, Polina Mironova, Jennifer Bethell, Ian Manion

Bibliographic record

VenueSuicide and Life-Threatening Behavior · 2011
Typereview
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsMcMaster UniversityInstitute for Clinical Evaluative SciencesOntario Centre of Excellence for Child and Youth Mental HealthUniversity of TorontoPublic Health Agency of CanadaSt. Michael's Hospital
Fundersnot available
KeywordsAssociation (psychology)ConfoundingSexual abusePsychologyClinical psychologyHuman factors and ergonomicsSuicide preventionPoison controlInjury preventionCausal inferenceDevelopmental psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

Child sexual abuse and suicide-related behaviors are associated, but it remains unclear if the strength of this association differs in boys and girls. In a systematic review of this association in children and youth, we identified 16 relevant studies, all cross-sectional surveys of students. The association is stronger in boys specific to suicide attempt(s). Adjustments for potential confounding variables explained some, but not all of this sex difference. While additional research would strengthen causal inferences, this sex difference may be influenced by the nature and timing of child sexual abuse as well as the sex of the perpetrator, which in turn shapes the disclosure of these 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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.085
GPT teacher head0.345
Teacher spread0.261 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations49
Published2011
Admission routes1
Has abstractyes

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