Measurement of system coordination degree of china national sustainable communities
Bibliographic record
Abstract
Local governments in China have been presented with an opportunity to become more sustainable through the program of China National Sustainable Communities (CNSCs).This program is aimed at guiding CNSCs toward sustainable development among resources, economy, environment and society.This article is focused on coordinated development patterns of CNSCs, in which the integrated coordination of CNSCs was analyzed.The entire process of the coordinated development of CNSCs being taken as object of study, the concept of coordination degree for CNSCs was proposed and a coordination degree evaluation system framework for CNSCs was built, which was divided into four subsystems, namely resource, economic, environment and social subsystems.Furthermore, a coordination degree evaluation indicator system for CNSCs was set up and the index weight was calculated based on component importance with the method of Principal Components Analysis used for data analysis.Finally, an evaluation model for coordination degrees of CNSCs was established.Besides, a hierarchy for coordination degrees to evaluate sustainable development levels was also set up.For application of the proposed model and the hierarchy for coordination degrees of CNSCs, two national sustainable communities, Chengmai county and Baisha county in Hainan Province, were analyzed for case study.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".