Coercive control and risk in intimate partner violence: are Canadian police prepared to assess?
Bibliographic record
Abstract
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.
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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 | 0.004 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".