Discussion on the integration path between national parks and territorial space planning and utilization regulation system
Bibliographic record
Abstract
Background & Aims: Land/ocean use change represents the foremost direct driver of global biodiversity loss.Target 1 of the Kunming-Montreal Global Biodiversity Framework advocates for zero loss of critical ecological regions through comprehensive spatial planning encompassing all areas.The proposal of "establishing and improving a unified and coordinated system for land and space use control and planning permission covering all regions and all types" put forward at the Third Plenary Session of the 20th Central Committee of the Communist Party of China provides the best opportunity for implementing Target 1. Challenges: As national parks constitute territorial spaces for biological conservation, their institutional reforms must be thoroughly connected with the territorial space planning and utilization regulation frameworks to efficaciously underpin the conservation of such ecological spaces.Nonetheless, current top-level designs for national park reforms lack explicit integration with these two systems, leading to practical contradictions.Recommendations: It is suggested to fully connect the national park planning system with the five-tiered,•保护与治理对策• 昆蒙框架如何在中国体制下成为主流工作目标专题
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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 | 0.029 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.018 |
| Scholarly communication | 0.016 | 0.024 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.012 | 0.015 |
| Insufficient payload (model declined to judge) | 0.019 | 0.001 |
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".