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Record W1987397350 · doi:10.1080/10439463.2015.1009370

From authoritarian policing to democratic policing: a case study of Taiwan

2015· article· en· W1987397350 on OpenAlexaff
Liqun Cao, Lanying Huang, Ivan Y. Sun

Bibliographic record

VenuePolicing & Society · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversity of Ontario Institute of Technology
Fundersnot available
KeywordsAuthoritarianismDemocracyDemocratizationSuccessor cardinalMartial lawGeopoliticsPolitical scienceInterpretation (philosophy)LawPolitical economySociologyPolitics

Abstract

fetched live from OpenAlex

The literature of democratic policing has neglected the case study of unique geopolitical situation. This study examines Taiwan, one of the few countries that has experienced a relatively peaceful transition from authoritarian policing to democratic policing. While the push from the dangwai movement was necessary, democratisation could not be so peaceful without benign concession from ex-president Chiang Ching-Kuo and his hand-picked successor Li Denghui. The article then contrasts the essential characteristics of democratic policing with these of authoritarian policing before the lifting of martial law in 1987. We contend that to endure democracy, the police must accept and embody democratic values in their practices. The difficulties to democratic reforms come from both despotic past and jaundiced interpretation of Confucianism. The essay represents a systematic attempt to explore the spread of democratic policing to a post-Confucian society.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.004
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.135
GPT teacher head0.428
Teacher spread0.293 · 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 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

Citations20
Published2015
Admission routes1
Has abstractyes

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