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Record W4298786865 · doi:10.22140/cpar.v3i1.2.51

Chinese Public Policy Innovation and the Diffusion of Innovations: An Initial Exploration

2005· article· en· W4298786865 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

VenueChinese Public Administration Review · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSketchChinaService innovationInnovation diffusionPublic policyInnovation systemService (business)Diffusion of innovationsBusinessKey (lock)National innovation systemInnovation managementRegional sciencePolitical scienceEconomic growthMarketingIndustrial organizationSociologyEconomicsEconomyComputer science

Abstract

fetched live from OpenAlex

In a rapidly changing country such as China, how to promote public Policy innovation is an especially critical issue. Understanding how and when innovation occurs, and how and when innovations spread to other jurisdictions, is vitally important if the goal of spurring greater innovation is to be achieved. This article examines one particularly interesting case of policy innovation in China, the development of the “Service Promise System” in the city of Yantai. The analysis of this Case will provide the basis for a more theoretical discussion that combines insights from the Western literature on the topic with the specific characteristics of the Chinese administrative system. One of the key aims is to sketch out an agenda for future research.

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score0.805

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0010.000
Scholarly communication0.0000.003
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 head0.068
GPT teacher head0.422
Teacher spread0.354 · 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