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Record W6965516837 · doi:10.34658/9788367934039.106

Political, legal and administrative conditions for urban ecological tissue renewal: an investigation of a national wetland park in China

2024· article· en· W6965516837 on OpenAlexaff

Bibliographic record

VenueWydawnictwo Politechniki Łódzkiej · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicPlant Ecology and Soil Science
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSustainabilityIndigenousCorporate governanceChinaPopulationNatural resourceEnvironmental governanceProperty rightsEconomic Justice

Abstract

fetched live from OpenAlex

This paper explores the structural limits of state-led eco-tourism and calls for balancing ecological transformation and socioeconomic sustainability in China’s recent rhetoric of ecological civilization. Through the conceptual lens of political ecology, the paper examines the issues of environmental justice and ecological advancement confronting local communities and the indigenous population in the Xixi National Wetland Park development in Hangzhou. Based on policy and plan audits and interviews, the study reveals how territorial governance and market integration have impacted conservation approaches, property ownership changes, employment, displacement and resettlement in a capital-driven and politically centred eco-tourism development. It advocates a balanced and integrated approach to natural resource conservation through multi-scalar and inclusive ecological governance at the local level.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.131
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.318
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

Citations0
Published2024
Admission routes1
Has abstractyes

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