Police Militarization in Canada: Media Rhetoric and Operational Realities
Bibliographic record
Abstract
Abstract This paper examines police militarization in Canada between 2007 and 2017. We contrast media and police accounts of militarization with special weapons and tactics (SWAT) team deployment records disclosed under freedom of information (FOI) law. Discourse analysis reveals a series of armoured vehicle purchases has been justified by police claims about the danger faced by police officers, and the need to keep police officers and the public safe. Media and police accounts thus suggest militarization is limited. However, our FOI research shows planned and unplanned deployment of SWAT teams have risen in major Canadian cities and are higher in some cases than those reported by Kraska on public police militarization in the USA. After revealing this juxtaposition between media rhetoric and the organization and operational reality of police militarization, we reflect on the implications of police militarization in Canada and the challenges that police may face in communications about armoured vehicle purchases as public awareness of SWAT team use rises and police legitimacy is questioned.
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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 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.013 |
| Science and technology studies | 0.018 | 0.010 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".