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Record W2037796628 · doi:10.1017/s0305741010001426

The Local Environmental State in China: A Study of County-Level Cities in Suzhou

2011· article· en· W2037796628 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

VenueThe China Quarterly · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsBalsillie School of International Affairs
Fundersnot available
KeywordsChinaLocal governmentState (computer science)Environmental governanceLocal governanceAdministration (probate law)Corporate governanceEnvironmental policyGovernment (linguistics)Political scienceEconomic growthPublic administrationEnvironmental protectionGeographyBusinessEnvironmental planningEconomicsFinance

Abstract

fetched live from OpenAlex

Abstract Local administration in China remains a contested territory of environmental governance. Economic growth often comes with high environmental cost; the central government's environmental regulations are implemented unevenly. This article examines the experience of policy uptake and adoption of the National Model City of Environmental Protection programme in the county-level cities of the Suzhou Municipality. It analyses the rationales for these cities' adoption of the policy, and implications for the emergence of the “environmental state” in local China. It suggests that while economic development remains an important priority of local officials, this preference is not immutable and is now complemented in some areas by substantial local commitments to environmental good practice, often under the influence of local leaders as well as provincial authorities.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.236
Teacher spread0.219 · 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