Police Charging Practices for Incidents of Intimate Partner Violence in Canada
Bibliographic record
Abstract
Objectives: To examine police charging practices in case of intimate partner violence (IPV) in Canada. Methods: In this national level study, we explore police charging in cases of IPV using data from the 2008 Uniform Crime Reporting (UCR) survey. Using logistic regression, we examine the impact of several key legal and extralegal factors on the police charging decisions. Results: Analysis shows that, while the majority of cases were cleared by charge, the proportion of cases in which police recommended a charge varied across the country. Further, the majority of legal and extralegal variables examined were significantly associated with the police decision to lay a charge across the jurisdictions examined, including the presence of victim injury, multiple victims, offence type as well as gender of the victim and the victim–accused relationship. Conclusion: Study findings indicate that future research on police charging in cases of IPV require more precise examinations of the role played by gender and the type of relationship as well as an investigation of the community context in which police decisions are made.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".