Bibliographic record
Abstract
Population growth and urbanization converge upon the Central and South Asia region, where water demand is expected to continue rising in order to support food production systems. In contrast, some freshwater resources are likely to be diverted from agriculture to provide water for other increasing demands, such as municipal and industrial activities. In such a context, achieving water and food security has become an entangled challenge in the region where most countries are net importers of major cereals. Ensuring both sides of the water-food equation complement each other needs insights into strategies that promote efficient use of available water resources to support efforts in achieving food security across the region. The following aspects of water resources management are needed in building a water- and food-secure future in the region by (1) promoting water conservation, water recycling and reuse; (2) ensuring sustainable water resources augmentation; (3) supporting productivity enhancement of underperforming land and water resources; and (4) addressing challenges beyond technical solutions accompanied by a call for sustainable intensification of agricultural production systems. Policymakers and water professionals need to recognize and treat water as a highly valuable precious resource for sustainable agricultural production systems and a cornerstone of the circular economy. The key to support efforts in ensuring water- and food-security in the Central and South Asia regions include pertinent political agendas and associated public policies, supportive institutions, strengthening institutional collaborations, and skilled professionals.
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.
How this classification was reachedexpand
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) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".