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Record W4398133183 · doi:10.1080/10538712.2024.2356194

Evaluating Child Sexual Abuse Perpetration Prevention Efforts: A Systematic Review

2024· review· en· W4398133183 on OpenAlex
Michael C. Seto, Kailey Roche, Nicole C. Rodrigues, Susan J. Curry, Elizabeth J. Letourneau

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 · 2024
Typereview
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsRoyal Ottawa Mental Health Centre
FundersOak Foundation
KeywordsPsychological interventionChild sexual abuseIntervention (counseling)PsychologySexual abuseSuicide preventionClinical psychologyChild abusePoison controlMedicinePsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

Many child sexual abuse prevention efforts focus on the prevention of victimization, through education of children and parents, bystander training, and policies and practices in youth-serving organizations (e.g. requiring criminal record checks). However, there has been growing attention to child sexual abuse perpetration prevention, targeted at individuals who are at risk of perpetration. We conducted a systematic review of studies reporting outcomes for child sexual abuse perpetration prevention interventions. Only seven studies were identified in our review, with five intended for adults and two intended for children. Four of the five adult studies had significant methodological concerns, precluding strong conclusions from these studies. We concluded that higher-quality evaluations of perpetration prevention efforts are greatly needed. We also identified intrafamilial perpetration prevention, particularly interventions for parents or caregivers, as a critical gap in the literature. Suggestions for child sexual abuse perpetration intervention evaluation and delivery are discussed.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.208
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.089
GPT teacher head0.431
Teacher spread0.341 · 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