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Record W4313816869 · doi:10.1177/14613557221145546

Dressing the part: The influence of police attire on outcomes in a simulated traffic violation case

2023· article· en· W4313816869 on OpenAlex
Quintan Crough, Craig Bennell

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

VenueInternational Journal of Police Science & Management · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsCarleton UniversityOntario Tech University
Fundersnot available
KeywordsOfficerCredibilityLegitimacyVerdictPlaintiffPsychologySocial psychologyApplied psychologyLawPolitical science

Abstract

fetched live from OpenAlex

Consistently outlined in juror decision-making research is that seemingly irrelevant variables (e.g., the appearance of defendants or plaintiffs) can impact judicial proceedings. Although police officers frequently appear in courtrooms, limited literature exists that assesses the impact of officer attire in this setting. The current study exposed participants to a mock-trial transcript outlining a traffic violation case in which officer gender and attire were manipulated. Participants then rendered a verdict, before providing ratings of officer credibility and police legitimacy, using the Police Legitimacy Scale (PLS). The female officer was viewed as significantly more credible than the male officer and participants’ PLS scores predicted their verdicts. Although no attire differences were found, findings might have implications for uniform policies.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.884
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.060
GPT teacher head0.437
Teacher spread0.378 · 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