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Record W4386221402 · doi:10.1177/00111287231195763

Responding to Sexual Assault: A Systematic Review of Police Training Interventions and Outcomes

2023· review· en· W4386221402 on OpenAlex

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

VenueCrime & Delinquency · 2023
Typereview
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsLakehead University
Fundersnot available
KeywordsSexual assaultPsychological interventionPsychologyCriminal justiceHuman factors and ergonomicsSuicide preventionPoison controlInjury preventionCriminologyMedicinePsychiatryMedical emergency

Abstract

fetched live from OpenAlex

Sexual assault is a worldwide issue that impacts many individuals, often with serious and long-lasting effects. Police play an important role for victims seeking justice. However, police response has been highly criticized as less than optimal. One question that remains unclear is whether sexual assault training improves police response. This quantitative review examined the effect of police training on diverse police outcomes. Five databases were systematically searched, which resulted in 10 published papers reporting on 12 studies. Our review found consistent evidence that suggests that sexual assault police training can improve various police attitudes, knowledge, and behaviors. However, further research is needed before specific recommendations regarding training can be made.

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.147
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.350
GPT teacher head0.526
Teacher spread0.176 · 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