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Record W4389915312 · doi:10.3390/land12122182

Research on the Governance of Rural Living Environments in China: A Perspective of “System-Life” Based on Field Research Conducted in Village A, Xiangtan County, Hunan Province

2023· article· en· W4389915312 on OpenAlexaff
Yunjuan Liang, Qiyu Shi, Anthony M. Fuller

Bibliographic record

VenueLand · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsUniversity of Guelph
FundersMinistry of Science and Technology, Taiwan
KeywordsSanitationCorporate governanceChinaEconomic growthRural areaBusinessEnvironmental planningPolitical scienceGeographyEconomicsEngineering

Abstract

fetched live from OpenAlex

This research focuses on the governance of rural living environments in China from the perspective of “System-Life”. The objective of improving rural living environments is to construct a beautiful countryside, which is an important part of China’s rural revitalization strategy. Through a literature review, a field study, and quantitative analysis, this paper explores the tensions and interactions between local governments and social demand by investigating four elements of the village improvement program: the village’s appearance, sewage treatment, domestic garbage disposal, and the sanitation of toilets. We also examine the interactions between the main participants involved in the governance of rural living environments, including the primary-level governments, village committees, and the villagers themselves. It was found that there is a path toward constructing a benign interaction between “system” and “life”. In terms of “system”, the primary-level governments play a decisive role in the implementation of policies, offering a creative interpretation and flexible implementation of a policy. From the perspective of “life”, the village committee is the bridge between the primary-level governments and villagers. The villagers have their own understanding of policy and the logic of life. This probe leads us to suggest that primary-level governments need to respect the perceptions and priorities of villagers in order to improve the performance of this well-intentioned program.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.039
GPT teacher head0.302
Teacher spread0.263 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations6
Published2023
Admission routes1
Has abstractyes

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