On the Enlightenment of Wetland Protection Systems in Some Foreign Countries to China
Bibliographic record
Abstract
Wetlands, as one of the three major natural ecosystems on earth, play a crucial role in conserving water sources, protecting the environment, addressing climate change, and preserving biodiversity. To accelerate the development of an ecological civilization and enhance the protection and development of wetlands, China has introduced the "People′s Republic of China Wetland Protection Law," marking the start of a new legal journey in wetland conservation. Considering the current status of domestic wetland protection legislation, this law has shortcomings in areas such as wetland ecological compensation systems, wetland development permitting systems, and social public participation systems, making it difficult to effectively achieve sustainable protection and utilization of wetlands in practice. This paper, by introducing wetland protection legislation and policies from countries such as the United States, the United Kingdom, Canada, and Australia, briefly analyzes the specific institutional provisions related to wetlands in these countries. It aims to provide beneficial references for China′s wetland protection, thereby improving China′s relevant legal systems for wetland conservation and providing a strong legal basis for wetland protection efforts in China.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".