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Record W4388633229 · doi:10.1177/17488958231210991

Situational context and public perceptions of officer appearance: A vignette-based study of police uniforms and accouterments

2023· article· en· W4388633229 on OpenAlexafffund
Rylan Simpson, Elise Sargeant

Bibliographic record

VenueCriminology & Criminal Justice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsSimon Fraser University
FundersSimon Fraser UniversityGriffith University
KeywordsVignetteSuspectSituational ethicsPerceptionContext (archaeology)OfficerPsychologyApplied psychologySample (material)Criminal justiceSocial psychologyProcedural justiceCriminologyPolitical scienceGeographyLaw

Abstract

fetched live from OpenAlex

Previous research has documented the effects of uniforms and accouterments on public perceptions of police in acontextual settings. Drawing upon a vignette-based survey, we explored the perceptual effects of various police uniforms and accouterments in the context of five different policing environments: (1) a burglary where the suspect was present, (2) a burglary where the suspect was not present, (3) a foot patrol, (4) a roadblock, and (5) a siege involving a barricaded person. As part of our research design, a sample of Queensland adults ( N = 292) rated images of police officers from the Queensland Police Service in different aesthetic capacities in each aforementioned environment along three perceptual outcomes: (1) traits, (2) effectiveness, and (3) procedural justice. The analyses reveal that appearance manipulations can impact public perceptions of officers. The analyses also indicate that the effects of some manipulations can sometimes vary by situational context. We discuss our results with respect to past and future research as well as operational policing practices.

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.

How this classification was reachedexpand

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.138
GPT teacher head0.395
Teacher spread0.257 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2023
Admission routes2
Has abstractyes

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