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Record W4321499509 · doi:10.1177/14613557231156752

Receptivity to research in policing: Results from a survey of Canadian police professionals

2023· article· en· W4321499509 on OpenAlex
Ariane‐Jade Khanizadeh, Brittany Blaskovits, Craig Bennell, Laura Huey

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

VenueInternational Journal of Police Science & Management · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsWestern UniversityCarleton University
Fundersnot available
KeywordsReceptivitySurvey researchPsychologyPublic relationsApplied psychologyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Previous surveys have demonstrated that not all police professionals are open to the idea that research can play an important role in policing. To examine how Canadian police professionals view this issue, we conducted a survey of 598 civilian and sworn police professionals from seven Canadian police services. The survey responses allowed us to gauge receptivity towards research and determine what factors predict receptivity. We also examined factors that differentiate the most receptive police professionals from others. Compared with previous surveys, our respondents were more receptive to research. Furthermore, having higher education, holding a more senior rank, and being exposed to research (e.g., attending conferences) were associated with higher levels of receptivity to research. The results from this study can potentially be used to increase receptivity to research among police professionals, which may help police services become more efficient and effective.

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)0.019
metaresearch head score (Gemma)0.001
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 score0.889
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.008
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
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 head0.316
GPT teacher head0.545
Teacher spread0.229 · 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