Adaptation policy and practice in densely populated glacier-fed river basins of South Asia: a systematic review
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
Rivers are the cultural, social and economic backbone of South Asia, and therefore, the focus of public, political and scientific debate. Himalayan glaciers are the source of numerous large Asian river systems, which support rich ecosystems and irrigate millions of hectares of fields, thereby supporting about a billion people who live in their catchments. Impacts of climate change in river systems are likely to have considerable social, economic, ecological and political implications. This paper reviews literature for three major glacier-fed river systems of South Asia—Brahmaputra, Ganga and Indus—to understand governance mechanisms for climate adaptation in the region. A systematic review methodology is applied to examine adaptation responses in the riparian countries of these Himalayan river basins in three different levels—policy objectives, institutions and practice. Using the “fit for purpose” governance framework, we try to examine how far or near is the region for operationalizing principles of adaptive governance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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