MétaCan
Menu
Back to cohort
Record W3121516688 · doi:10.1177/1468017320979956

A review of pro-arrest, pro-charge, and pro-prosecution policies as a response to domestic violence

2021· review· en· W3121516688 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Social Work · 2021
Typereview
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCriminalizationDomestic violenceCriminal justicePolitical scienceDeconstruction (building)Economic JusticePublic policyCriminologyPsychologyPublic relationsMedicinePoison controlSuicide preventionLawEngineeringMedical emergency

Abstract

fetched live from OpenAlex

Summary The focus of this scoping review was to understand the overall state of research activity related to pro-arrest, pro-charge, and pro-prosecution policies in Canada. The review identified 295 articles, academic (47.5%) and gray literature (52.5%) published between 1983 and 2018 that reported on these policies as a response to domestic violence in Canada. Findings The findings acknowledged growing concerns over the ineffectiveness of these policies as a response to domestic violence. In fact, over half of the articles (57.6%) either failed to support these policies or recommended significant revisions; only a small number of articles (1.0%) favored these policies in their current form. Themes related to the effectiveness of these policies included criminalization and public awareness, survivor satisfaction, standardized police response, removal of burden from survivor to charge, and better than nothing. Themes related to the ineffectiveness included disconnect between policy and practice, revictimizes survivors, one-size fits all approach, have not adequately reduced domestic violence in Canada, lack of understanding training and education for all, failure to address structural and systemic factors, lack of trust in the criminal justice system, and success has been difficult to measure. Applications The deconstruction of these policies in this review points to the need for future research to address identified gaps in the literature and to explore alternatives that serve their intended emancipatory effect.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.860
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.058
GPT teacher head0.432
Teacher spread0.375 · 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