<i>Prevention-enhancing interactions</i>: a Critical Interpretive Synthesis of the evidence about children who sexually abuse other children
Bibliographic record
Abstract
There is a growing interest in English-speaking jurisdictions, including Australia, North America, Canada, the United Kingdom and New Zealand, about the prevention of sexual abuse perpetrated by children against other children. The aim of this review was to identify opportunities for research, policy and practice which could enhance the prevention agenda relating to the perpetration of sexual abuse by children through conducting a Critical Interpretive Synthesis. Eleven electronic databases were searched in the period from 22 April to 23 May 2013 and included: SocINDEX, Social Services Abstracts, Applied Social Sciences Index and Abstracts, Family and Society Studies Worldwide, Project Muse, PsychINFO, Family and Society Plus, Jstor, Expanded Academic ASAP, Web of Science and Google Scholar. Key individual journals were also searched, including Child Abuse and Neglect and the Journal of Interpersonal Violence, as well as the grey literature. The search was guided by the research question: How could the prevention agenda relating to sexual abuse perpetrated by children be enhanced? The systematic literature search yielded 3323 titles, and 34 of these papers were included in the final synthesis. The authors identified five domains operating in the evidence base: characteristics, causes, communications, interventions and treatments. A synthesising construct emerged from the review: prevention-enhancing interactions. This construct referred to the potential for enhancing the prevention agenda which exists as the evidence domains interact with one another, and with the public health model of prevention. The authors consider this review to be a timely contribution to the current agenda pertaining to sexual abuse perpetrated by children. It provides researchers, policy makers and practitioners in the field with an evidence-informed conceptualisation of opportunities for enhancing prevention work.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.170 | 0.377 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.007 |
| Bibliometrics | 0.026 | 0.025 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.017 | 0.020 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".