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Record W1986182261 · doi:10.1080/10538712.2011.571233

Sexual Offending in Adolescence: A Comparison of Sibling Offenders and Nonsibling Offenders across Domains of Risk and Treatment Need

2011· article· en· W1986182261 on OpenAlex
Natasha E. Latzman, Jodi L. Viljoen, Mario J. Scalora, Daniel Ullman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Child Sexual Abuse · 2011
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychologySiblingJuvenile delinquencyPornographySexual abuseChild sexual abuseChild abuseSuicide preventionPoison controlChild pornographyClinical psychologyDevelopmental psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

Sibling sexual offending has received limited empirical attention, despite estimates that approximately half of all adolescent-perpetrated sexual offenses involve a sibling victim. The present study addresses this gap by examining male adolescent sibling (n = 100) and nonsibling offenders (n = 66) with regard to maltreatment histories and scores on two adolescent risk/need assessment instruments, the ERASOR and YLS/CMI. Adolescents who sexually abused a sibling, versus a nonsibling, were more likely to have histories of sexual abuse and been exposed to domestic violence and pornography. There were no group differences on ERASOR and YLS/CMI scales. This study adds to the limited discourse on sibling sexual offending and the larger literature on the heterogeneity of adolescents who have sexually offended.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.337
Teacher spread0.267 · 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