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Record W4391845205 · doi:10.1080/10439463.2024.2317304

Coercive control and risk in intimate partner violence: are Canadian police prepared to assess?

2024· article· en· W4391845205 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePolicing & Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversité de MontréalUniversity of GuelphUniversity of New BrunswickSt. Thomas University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDomestic violenceIntimate partnerCriminologyControl (management)Political sciencePsychologyHuman factors and ergonomicsPoison controlSocial psychologyEnvironmental healthMedicineComputer science

Abstract

fetched live from OpenAlex

Coercive control is an ongoing pattern of abuse that is intended to isolate, humiliate, degrade, and micro-regulate the everyday life of a victim; often found amongst intimate partner violence (IPV) situations yet may not present with physical evidence. Police officers are called to respond to these conditions, yet are limited by training, legislation, and risk assessment tools that often concentrate primarily on the presence of physical violence alone. An online survey was distributed to police officers across Canada to understand how they explore, and respond to IPV and coercive control, and what they consider to be the most pertinent risk factors when assessing the severity of a situation. Findings reveal that police officers continue to emphasise perpetrator behaviours that involve physical violence and serious physical harm. As Canada is currently considering the possibility of criminalising coercive control, results highlight that further training and improved risk assessment tools will be necessary in order for police to be able to effectively respond.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score0.735

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.024
GPT teacher head0.344
Teacher spread0.320 · 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