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Record W2024629835 · doi:10.1080/10225706.2011.577977

Building Hangzhou's new city center: mega project development and entrepreneurial urban governance in China

2011· article· en· W2024629835 on OpenAlexafffund
Zhu Qian

Bibliographic record

VenueAsian Geographer · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Waterloo
KeywordsCorporate governanceChinaGovernment (linguistics)Local governmentInstitutionUrban planningEconomic growthCivil societyEconomic systemPublic administrationBusinessPolitical scienceEconomicsCivil engineeringPoliticsFinance

Abstract

fetched live from OpenAlex

Politico-economic landscapes in China have experienced profound changes since the late 1970s. Local governments have transformed their role in urban governance from conventional regulator to entrepreneurial agent. Entrepreneurial urban governance defines the relationships between local government and other interest groups in the urban development process. These issues can be most clearly observed in mega urban project development. Using entrepreneurial urban governance as an analytical approach, this study examines the so-called “government led but market oriented operation” of a new city center development process in Hangzhou. The study uncovered a dominant role of local government in entrepreneurial urban governance, which featured participation by other interest groups. The study also revealed the applicability and variations when applying the concept of urban entrepreneurialism to a socialist economy in transition. Issues concerning development motivations and strategies, civil society, amphibious institution and local elitism make entrepreneurial urban governance in China unique.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.253
Teacher spread0.235 · 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

Citations47
Published2011
Admission routes2
Has abstractyes

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