Elevating river basin governance and cooperation in the HKH region: Summary report II, Ganges River Basin
Bibliographic record
Abstract
The report "Elevating River Basin Governance and Cooperation in the HKH Region: Summary Report II on the Ganges Basin " provides a comprehensive overview of the Ganges River Basin, emphasizing its significance as a crucial water source for over 600 million people. The report highlights the challenges posed by climate change, the state of basin governance, and the need for a multilateral or regional framework for enhanced basin-scale management. It offers high-level recommendations for promoting multilateral cooperation, improving data collection and sharing, and catalysing cooperation through common goals. The report also addresses the environmental characteristics, climate change impacts, and the state of basin governance, including relevant treaties, policies, and agreements. Key aspects of the report include: A detailed analysis of the Ganges River Basin, its socio-economic trends, environmental characteristics, and climate change impacts. An examination of the state of basin governance, including relevant treaties, policies, and agreements. The report also focuses on gender and social inclusion (GESI) and engagement with all relevant stakeholders, including people with disabilities, indigenous people, and other marginalized populations in knowledge generation, dialogues, planning, and cooperation at the local and basin scales. It is part of a series of three reports on Elevating River Basin Governance and Cooperation in the HKH Region, which also include reports on the Indus and Brahmaputra river basins.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".