Evaluation on Coordinated Development Degree of Landuse in County-scale of Shaanxi Province
Bibliographic record
Abstract
The evaluation of coordinated development degree of land use has important guiding significance to the regional land use.Based on the ecological services value(ESV)degree of land use,and taking the 101 counties in Shaanxi Province as study areas,the evaluation model of coordinated development degree of land use had been established from the two aspects(the socio-economic development and ecological environment quality of land use),and thus a comprehensive evaluation of the coordinated development degree of land use has been made.The results showed that the evaluation of land use efficiency could reflect to some extent the potential of land use,and then provided a better perspective to comprehensive analysis of the coordinated development degree of land use.At the same time,the coordination of economic and social benefits of land use was significantly higher than the coordination between the ecological benefits in the cities and counties in Shaanxi Province.The coordinated development degree of land use was higher in Yulin,Yan′an City and the surrounding counties.Overall,the coordinated development degree was descending from north to south. Therefore,in the process of economic development,we should pay more attention to the protection of ecological environment,and strengthen the land carrying capacity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".