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Record W4416022380 · doi:10.1016/s2352-4642(25)00214-7

Interventions to prevent, reduce, and respond to violence against children and adolescents: a systematic review of systematic reviews to update the INSPIRE Framework

2025· review· en· W4416022380 on OpenAlexaff
Madison T. Little, Alexander Butchart, Greta M. Massetti, Sabrina Hermosilla, Camille Wittesaele, Isabelle Pearson, Janina Jochim, Susan Swingler, Claudia Schupp, Ines Böhret, Lakshmi Neelakantan, Sophia Backhaus, Mackenzie Martin, Meredith Mase, Sabrina Page, Roselinde Janowski, Alexandra Blackwell, Kyle Bernstein, Sabine Rakotomalala, Lucie Cluver

Bibliographic record

VenueThe Lancet Child & Adolescent Health · 2025
Typereview
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsMacEwan UniversityHamilton Health Sciences
FundersEconomic and Social Research CouncilClarendon FundGreen Templeton College, University of OxfordOak Foundation
KeywordsSystematic reviewPsychological interventionDomestic violencePoison controlSuicide preventionMEDLINEHuman factors and ergonomicsSexual violence

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.032
metaresearch head score (Gemma)0.097
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.032
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.097
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0170.015
Bibliometrics0.0140.010
Science and technology studies0.0010.002
Scholarly communication0.0050.005
Open science0.0030.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.066
GPT teacher head0.426
Teacher spread0.361 · 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 designSystematic review
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

Citations10
Published2025
Admission routes1
Has abstractno

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