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Record W4322581824 · doi:10.5751/es-13694-280132

The role of the Yangtze River Protection Law in the emergence of adaptive water governance in China

2023· article· en· W4322581824 on OpenAlexvenueno aff
Ruoying Li, Jin Wang

Bibliographic record

VenueEcology and Society · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHydropower, Displacement, Environmental Impact
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceEnvironmental governanceScholarshipLegislationChinaPoliticsEnvironmental resource managementGovernment (linguistics)Environmental planningPolitical scienceEcologyBusinessGeographyLawEconomics

Abstract

fetched live from OpenAlex

The Yangtze River Basin faces unprecedented challenges in harmonizing competing interests in its ecological and social systems. The central government of China, in response to the need for change in governance arrangements and cooperation, passed the Yangtze River Protection Law. It is China's first legislation at the basin scale and for a specific river basin. Ecological disturbances caused by industrial and other human activity, followed by political support for environmental protection, catalyzed the passage of this law. As the first tentative effort to regulate a complex and changing social-ecological system, it has incorporated multiple legal and institutional design principles identified in the adaptive governance and law scholarship: scaled approaches to social-ecological systems, cooperation to address geographical and sectoral fragmentation, and participatory capacity. These commonalities show that designs are fundamental to tackle geographic and sectoral fragmentation of complex systems and catalyze the emergence of adaptive water governance.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.018
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.001
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 head0.010
GPT teacher head0.305
Teacher spread0.295 · 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

Citations27
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueEcology and SocietySame topicHydropower, Displacement, Environmental ImpactFrench-language works237,207