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Record W2297711880 · doi:10.1080/15614263.2015.1086878

Development and reform of police training and education in Taiwan

2015· article· en· W2297711880 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

VenuePolice Practice and Research · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversity of Ontario Institute of Technology
Fundersnot available
KeywordsTraining (meteorology)Training systemCurriculumDemocracyPolitical sciencePublic relationsPublic administrationMedical educationLawMedicine

Abstract

fetched live from OpenAlex

This article describes the development of training and educating police officers in Taiwan. The current system, which has largely survived the democratic transition between 1986 and 2000, is unique. It is a two-track system in which Taiwan Police College (TPC) is responsible for training low ranking police personnel, whereas Central Police University (CPU) is responsible for educating police management personnel. Currently, the presidents of CPU are no longer chosen from the military, but their backgrounds require experiences as police officers. The Examination Yuan opens up the new route into TPC and CPU through competitive national civil examinations. Echoing the outcry for reform within Taiwan and abroad, we advocate to liberate new cadets from the closed system so that they can learn together with other non-police students and to add more social science materials into the police education curriculum.

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)0.005
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.324
GPT teacher head0.548
Teacher spread0.224 · 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