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Record W3155109027 · doi:10.6000/1929-4409.2021.10.27

South African Police Services Officials` Perceptions of Community-Police Relations in Durban, South Africa

2021· article· en· W3155109027 on OpenAlexvenueno aff
Siyanda Dlamini

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsCommunity policingOfficerLaw enforcementCynicismPublic relationsPerceptionWork (physics)Police departmentCriminologyQualitative researchService (business)Police sciencePolitical scienceSociologyPsychologyLawPoliticsBusinessCriminal justiceEngineering

Abstract

fetched live from OpenAlex

olice officers’ views about police-citizen relationships are shaped not only by opportunities to interact with community residents during normal police work but also in part by efforts due to the larger police mission of encouraging and supporting such attitudes. In recent years, police in different countries has shifted from the traditional reactive form of policing towards community-oriented approaches. Hence, the purpose of this paper is to explore police officers’ views of citizen-police relationships and community policing in Durban, South Africa. A qualitative research approach was adopted, to explore such perceptions in the study area. The findings collected through semi-structured interviews with the South African Police Services personnel suggested that police officer were dissatisfied and at best ambiguous about citizens’ participation in crime prevention activities or support for the police in a township dwelling. However, in a suburban area, the perceptions marked an improvement in their attitudes on various dimensions. These include officers’ views about the overall police mission, increased emphasis on service-oriented policing in contrast to a law enforcement approach, support for community policing, perceived citizens’ willingness to cooperate with the police in crime prevention activities, and decreased cynicism about citizens. These findings suggest confidence in the utility of community policing ideas.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score0.981

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 studies0.0000.001
Scholarly communication0.0000.000
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 head0.112
GPT teacher head0.390
Teacher spread0.279 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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