High-risk operation: Investigating racial disproportionality in Canadian SWAT team use of force incidents and challenging police militarization’s colorblind construction
Bibliographic record
Abstract
Police militarization in Canada is largely framed as a race-neutral crime control strategy in the Canadian literature Much of the existing research omits race as an analytical category and fails to critically engage with how the socially constructed threat of racialized criminality is foundational to legitimizing police militarization. This article offers the first enumeration of racial disproportionality and disparity in use of force incidents involving tactical units. This article analyzes over 1100 use of force reports obtained from seven municipal police services in southern Ontario. The results demonstrate the racially disproportionate impact of police militarization on the Black community, who are overrepresented in use of force incidents across all municipalities in comparison to their overall proportion of the population. The results are further contextualized through applying critical race theory and Wacquant’s work on urban marginality and precarity. The findings challenge the race-neutral portrayal of tactical units, and police militarization, laying the groundwork for more substantive empirical analyses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".