Piloting Body-Worn Cameras in Northern Canada
Bibliographic record
Abstract
The Royal Canadian Mounted Police (RCMP) are implementing body-worn cameras (BWCs) across the country. This chapter reports on a pilot project designed to evaluate the implementation of these cameras that was conducted in Iqaluit, Nunavut, a remote northern Canadian community. Findings from several surveys – one focusing on community members and the others focusing on RCMP officers – are presented, and the impact on operational data (e.g., crime trends) is discussed. These findings suggest that BWCs are generally supported by the public and although crime and use-of-force rates during the pilot project did not differ from historical trends, BWCs were generally perceived to increase public safety and help improve police-public relations. RCMP officers are also generally satisfied with their BWCs and their BWC training. The authors believe this pilot project helped develop community trust around the use of BWCs by RCMP officers and they hope the project description provides a blueprint for other agencies to implement their own culturally sensitive and community-focused BWC program.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".