The coupling evolution analysis of resource-environment-economic system in the poor areas of Gansu
Bibliographic record
Abstract
Dingxi City located in central Gansu province is the poorest area in China,the contradiction between the economic development and the environment resources is even more serious than others,therefore studies imminently to coupled evolution analysis of this area resources-environment-economy system is urgent and necessary.Using principal component analysis method,human activity index,ecological environment index and government interference index,we built a non-parameter regression model under cultural impact and policy interference condition to study the coupling evolution of resources-environment-economy systems of Dingxi.The results indicate that from 1980 to 2008,the relationship of ecological environment and human activities and government interfere was inverted U-shaped surface.The current social and economic development of Dingxi was at the expense of environmental resources,the urgent need is to change the development path,must optimize the industrial structure,promoting clean production and energy conservation,and strengthen environmental supervision and inspection,so that the whole socio-economic could be in harmony with the natural environment.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".