The Landscape Approach in Biodiversity Conservation; A Regional Cooperation Framework for Implementation of the Convention on Biological Diversity in the Kangchenjunga Landscape
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
This Framework Paper presents the Regional Cooperation Framework developed for implementation of the Convention on Biological Diversity (CBD) in the southern part of the Kangchenjunga landscape, which includes parts of Nepal, Sikkim (India), and Bhutan. The Framework is the result of a long process that started with a pilot initiative on transboundary biodiversity management. It is intended as a guide, with provisions that can be adapted and applied to the individual countries in the landscape to achieve cooperation for implementation of the CBD at national level. Based on the principles of the CBD, and taking into account the national biodiversity strategies and action plans of each of the three countries, it gives directives on four constitutive elements of biodiversity conservation: transboundary biodiversity conservation, scientific and technical cooperation, information exchange and sharing, and regional guidelines and soft legal instruments; and touches upon the implementation mechanisms and identification of stakeholders and their key roles at local and national, and regional and international, levels. The paper discusses the concept of transboundary landscape management within the context of conservation of biological diversity and the CBD, describes the historical development of transboundary biodiversity conservation and cooperation in the eastern Himalayas and the development of the Framework, as well as presenting the Framework itself.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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