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Record W2051961937 · doi:10.5539/res.v5n1p116

Future of Policing in the UK: Understanding the Economics

2013· article· en· W2051961937 on OpenAlexvenueno aff
Colin Rogers, James Gravelle

Bibliographic record

VenueReview of European Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsAccountabilityPaymentRelation (database)BusinessService (business)Task (project management)Public sectorPublic administrationEconomicsPublic economicsPublic relationsPolitical scienceFinanceLawMarketingEconomyManagement

Abstract

fetched live from OpenAlex

Policing does not exist in a social, political or economic vacuum. The economic framework in which policing must operate is constantly changing and is becoming increasingly difficult to predict. This fluid and dynamic financial situation combined with societal and political pressures make the task of policing even more complex. This paper examines the possible impact of contracting budgets and increasing demand from the public will have on the delivery of policing products and services. The article considers the role the private sector may have in delivering such policing products to the public along with alternative funding mechanisms such as payments by results. Such reforms are unquestionably significant and will change the relationship between police service and the public. Issues such as accountability, efficiency and overall economic viability are explored in relation to some of the possible reforms facing policing with the UK.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.070
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.007
Scholarly communication0.0080.007
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.209
GPT teacher head0.416
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2013
Admission routes1
Has abstractyes

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