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Record W3000613302 · doi:10.24908/ss.v17i3/4.8649

Police Use of Body-Worn Cameras: Challenges of Visibility, Procedural Justice, and Legitimacy

2019· article· en· W3000613302 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSurveillance & Society · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversity of WinnipegLakehead University
Fundersnot available
KeywordsVisibilityAccountabilityLegitimacyPolitical scienceDemocracyProcedural justiceCommunity policingPublic relationsEconomic JusticePublic administrationPsychologyLawPerception

Abstract

fetched live from OpenAlex

Recent controversies over police use of force in the United States of America have placed a spotlight on police in Western nations. Concerns that police conduct is racist and procedurally unjust have generated public sentiments that accountability must be externally imposed on police. One such accountability mechanism is body-worn cameras (BWCs). Optimistic accounts of BWCs suggest that the technology will contribute to the improvement of community–police relations. However, BWCs address consequences, not causes, of poor community–police relations. We argue that the evolving visibility of police associated with BWCs is double-edged, and suggest that the adoption of surveillance technologies such as BWCs in the quest to improve community–police relations will fail without a simultaneous commitment to inclusionary policing practices (such as community policing strategies, community and social development, and local democracy). We outline two initiatives that optimize BWCs by promoting these simultaneous commitments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.057
GPT teacher head0.359
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it