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Record W3210606543 · doi:10.1093/police/paab063

What do the Rural Folks Think? Perceptions of Police Performance

2021· article· en· W3210606543 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePolicing A Journal of Policy and Practice · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsOntario Tech UniversityUniversity of Regina
Fundersnot available
KeywordsPhonePerceptionCriminologyRural areaService (business)PsychologyPolitical scienceBusinessLawMarketing

Abstract

fetched live from OpenAlex

Abstract Several highly publicized incidents have drawn the public’s attention to the problem of rural crime in Canada, and this focus is appropriate given that rates of rural crime in most provinces are higher than in urban areas. This study reports the results of an examination of urban and rural residents’ perceptions of the police in Saskatchewan, Canada. Controlling for their socio-demographic characteristics, prior victimization, perceptions of crime, and contact with the police, the results of 1,791 phone surveys reveal that rural residents are less likely than their urban counterparts to indicate their police do a good job of enforcing the laws, promptly responding to calls for service, providing them with crime prevention information, ensuring their safety, or cooperating with them to address their concerns. We also found that both urban and rural residents who felt their communities were unsafe or neutral (neither safe nor unsafe) were less likely to indicate the police did a good job in all the seven categories of police performance examined in this research. Implications for rural policing practice and research are identified considering these findings.

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)0.005
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 score0.205
Threshold uncertainty score0.880

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.003
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 head0.049
GPT teacher head0.415
Teacher spread0.367 · 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