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Record W2127014071 · doi:10.1002/bsl.919

Searching for the developmental origins of sexual violence: examining the co‐occurrence of physical aggression and sexual behaviors in early childhood

2010· article· en· W2127014071 on OpenAlexaffabout
Patrick Lussier, Jay Healey

Bibliographic record

VenueBehavioral Sciences & the Law · 2010
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsAggressionPoison controlHuman factors and ergonomicsInjury preventionDevelopmental psychologyPsychologySuicide preventionSexual violenceOccupational safety and healthSexual behaviorMedical emergencyClinical psychologyMedicineCriminology

Abstract

fetched live from OpenAlex

While developmental perspectives on sexual violence have gained much interest in recent years, few empirical studies have been conducted to better understand its origins. This study attempts to fill this gap by examining the onset of physical aggression and normative sexual behaviors in preschoolers. This study is based on a sample of at-risk children (n = 100) recruited as part of the KD-BEAR project, an on-going longitudinal study conducted in Vancouver, British Columbia, Canada. Semi-structured interviews were completed with the primary caregiver and the child. The structural model examined showed a significant and important latent correlation between physical aggression and sexual behaviors across models tested, after controlling for child and familial characteristics. Furthermore, findings showed that male preschoolers coming from low income families having been referred for assessment and/or treatment for an externalizing spectrum disorder showed higher levels of both aggression and sexual behaviors. The implications of these findings are discussed in light of developmental models of sexual violence, and the secondary prevention of sexual violence at its earliest stages.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.549
Threshold uncertainty score0.735

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.070
GPT teacher head0.387
Teacher spread0.317 · 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.

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

Citations30
Published2010
Admission routes2
Has abstractyes

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