Bibliographic record
Abstract
Focusing on discourses surrounding the introduction and use of body-worn cameras, this book contends that the principal catalyst for equipping frontline officers with cameras is linked to media narratives concerning beliefs about their effectiveness in bringing about police reform. Although research testing the efficacy of body cameras is inconsistent, law enforcement agencies continue to adopt and use body-worn cameras on the premise that the technology will increase and enhance accountability and transparency. The authors argue that the police and public do not have shared definitions or expectations associated with the terms accountability and transparency, but that these ideas appear frequently across media narratives in relation to police reform. Police Body-Worn Cameras: Media and the New Discourse of Police Reform details how the new discourse obfuscates the clashing expectations and goals of police and publics, ensuring that transparency and accountability remain aspirational public concepts with no enshrined legal or policy parameters that bolster the legitimacy of policing as an institution. This book will appeal to scholars and students of criminology, sociology, media studies, and policing.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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; both teacher heads agree on what is shown here.
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".