Body-worn cameras and court proceedings: A qualitative study of police officers’ expectations
Bibliographic record
Abstract
Abstract Body-worn cameras (BWCs) record interactions between members of the public and law enforcement, with expected legal benefits. This study examines police officers’ perceptions of BWC usage in court through individual interviews and focus groups with 78 officers. Most of the participants were involved in a 6-month BWC pilot program, which was only the third BWC implementation in the Canadian province of Quebec. Police officers are largely optimistic about the use of BWCs in court and expect their footage to serve as visual evidence, to replace portions of written reports, and corroborate their testimony. However, they worry that BWC footage could be used by defense lawyers to challenge report discrepancies, leading to substantial impacts on legal proceedings. The BWC pilot program did not exacerbate their apprehensions about the technology’s potential limitations. The central role of police officers in the use of BWC footage as evidence is highlighted.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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".