How practical is tactical? Political sociology, militarization, and police tactical teams in Canada
Bibliographic record
Abstract
Emergency Response Teams (ERT), commonly referred to as Special Weapons And Tactics (SWAT) teams, are the specialized police unit responsible for mitigating violent and dangerous conflict beyond the capacity of general duty to handle effectively. Debates surrounding the application and effectiveness of ERTs in policing highlight a need to keep ERT members safe due to adequacy and occupational health and safety standards while concurrently managing the expectations of community groups. These groups include those calling for defunding or de-militarization. Explored in the current article, is a thematic analysis of popularized media to unpack the arguments that police, government officials and community activist groups make to help shift opinions on police militarization. However, we frame these media account within Bourdieusian concepts of symbolic power, habitus or field struggle to provide insight into, arguably conflicting, interpretations of police militarization.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.041 | 0.026 |
| Scholarly communication | 0.016 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".