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Record W2048508143 · doi:10.1177/0097700406286188

Improving Municipal Governance in China

2006· article· en· W2048508143 on OpenAlex
Kenneth W. Foster

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

VenueModern China · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBureaucracyChinaCorporate governanceCommunismPublic administrationPublic serviceProcess (computing)Service (business)Public relationsBusinessPolitical scienceLawMarketingFinancePolitics

Abstract

fetched live from OpenAlex

In recent years, a serious effort to remake the Chinese administrative system has accelerated. This article explores the dynamics of reforms aimed at improving the bureaucracy's effectiveness in providing services to the public. To illuminate key features of the process of local-level administrative reform, it examines in detail the pathbreaking Service Promise System experiment carried out in the city of Yantai. This case study shows how useful innovative ideas about reform filter into China and then diffuse across organizational and administrative boundaries. It sheds light on the role played by “entrepreneurial executives” (local bureaucrats) in promoting innovative policies and on the features of the Chinese administrative system that shape how reforms are implemented. Drawing on the New Public Management approach to administration, the Service Promise System represented a serious attempt to make the bureaucracy more customer-oriented and professional. The analysis presented in this article highlights the difficulty of achieving these aims while the Chinese Communist Party remains averse to being bound by clear rules and by public opinion.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.006
GPT teacher head0.241
Teacher spread0.234 · 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