MétaCan
Menu
Back to cohort
Record W2464436105 · doi:10.1177/0004865816656721

Public assessments of the police and policing in Hong Kong

2016· article· en· W2464436105 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

VenueAustralian & New Zealand Journal of Criminology · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsLegitimacyPolice scienceCriminologyContext (archaeology)SociologyPoliticsPublic orderPublic relationsCrime preventionPolitical scienceCriminal justiceLaw

Abstract

fetched live from OpenAlex

This paper presents the findings from a focus group research study on public assessments of the police and policing in Hong Kong. The main findings indicate that while people have generally positive views about police effectiveness in responding promptly to and fighting crime, they have decidedly mixed views regarding stop and search and public order policing. By drawing on the multi-dimensional framework of trust proposed by other policing scholars, we suggest that a useful way to conceptualize public assessments of the police and questions of satisfaction and trust of policing in Hong Kong is to distinguish between people's instrumental concerns about personal safety and crime and their affective concerns about the process of policing and the symbolic role of the police in maintaining a particular way of life. The paper concludes by reaffirming the value of sociologically informed, qualitative policing research that examines questions of police-citizen relationship and legitimacy within a broader socio-political context.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.236
GPT teacher head0.417
Teacher spread0.181 · 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