MétaCan
Menu
Back to cohort
Record W4388846231 · doi:10.7249/rra2790-1

International approaches to police performance measurement

2023· book· en· W4388846231 on OpenAlexaboutno aff
Emma Zürcher, Lana Eekelschot, Annalena Wolcke, Lucy Strang

Bibliographic record

VenueRAND Corporation eBooks · 2023
Typebook
Languageen
FieldSocial Sciences
TopicDutch Social and Cultural Studies
Canadian institutionsnot available
FundersUniversiteit van TilburgWetenschappelijk Onderzoek- en DocumentatiecentrumErasmus Universiteit Rotterdam
KeywordsPerformance measurementGeographyPolitical scienceRegional sciencePublic administrationManagementEconomics

Abstract

fetched live from OpenAlex

RAND Europe was commissioned to conduct an international review of approaches to police performance measurement. The study examines how police performance is measured in a selection of countries and assesses how police performance measurement in the Netherlands could be improved. The report draws on information from Australia, Canada, England and Wales, Finland, Israel, New Zealand, North Rhine-Westphalia, the Netherlands, USA and Sweden.

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)0.038
metaresearch head score (Gemma)0.052
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0380.052
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0200.029
Science and technology studies0.0020.006
Scholarly communication0.0100.007
Open science0.0020.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0060.002

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 head0.346
GPT teacher head0.288
Teacher spread0.058 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueRAND Corporation eBooksSame topicDutch Social and Cultural StudiesFrench-language works237,207