Preliminary Assessment on Pressure and Threat of Protected Area in Northeast China
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The methodology of Rapid Assessment and Prioritization of Protected Areas Management(RAPPAM) recommended by World Commission on Protected Areas(WCPA) and World Wide Fund for Nature(WWF) was used in investigating and analyzing pressures,threats and trends of the protected areas in Northeast China.The results showed that the following six factors had broader sphere of influence,affecting at higher degree and lasting a longer time in the 14 threatening factors: fires,deforestation,poaching,non-timber forest products(NTFP),tourism and grazing.Protected areas should focus on control of these threatening factors.Therefore,the future management of protected areas should strengthen monitoring of fires,deforestation,poaching,NTFP,etc.Meanwhile,protected areas should develop relevant policies and take appropriate measures to effectively control and reduce the negative impact of eco-tourism to improve the effectiveness of management.
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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 | 0.002 | 0.001 |
| 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) | 0.001 | 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 it