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Record W4376104326 · doi:10.1080/15614263.2023.2210726

The price tag of police body-worn cameras: officers’ and citizens’ perceptions about costs

2023· article· en· W4376104326 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

VenuePolice Practice and Research · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversité de MontréalInternational Centre for Comparative CriminologyÉcole Nationale d'Administration Publique
Fundersnot available
KeywordsAccountabilityPerceptionTransparency (behavior)Public relationsPhonePublic supportSkepticismPsychologyAccountingBusinessPolitical scienceLaw

Abstract

fetched live from OpenAlex

Research shows that both police officers and the public consistently express support for body-worn cameras (BWCs). The cost of increasing police transparency and accountability, however, is often overlooked. As many agencies have been deterred by their high price, BWCs may not always be cost-effective. Citizens have also rarely been surveyed on BWCs’ financial implications, suggesting their support may have been miscalculated. Considering the calls for reducing police budgets, it seems important to question whether BWCs are an appropriate use of public money. This article investigates how financial implications influence support for BWCs. It first explores how officers perceive the financial implications of using BWCs through interviews and focus groups. Then, it examines public support for BWCs, as revealed in experimental phone surveys. Results indicate that officers are generally sceptical about the public value of BWCs. While citizens showed a high endorsement for BWCs, their support dropped when reminded it could lead to cutbacks in social programmes.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.099
GPT teacher head0.489
Teacher spread0.390 · 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