Proposed Policies for Planning and Managing Water Resources in Egypt in Light of Expected Climate Changes
Bibliographic record
Abstract
Climate change is one of the most serious challenges facing the world and a fundamental challenge to the sustainable development process. Climate change has a tremendous impact on water in Egypt, which is manifested in many pressures on food and water supply, and a direct impact on the economy, politics and society, North Africa has become one of the region's most in need of food preservation with limited water supplies, hence the idea of research working on Achieving the goal to develop policies for planning and managing water resources to ensure Egypt’s resistance to the effects of climate change and exposure to water shortage problems, using the Delphi method, which is an organized way to collect the opinions of a selected group of experts and specialists in the field of planning and management of water resources. By conducting a questionnaire to collect the opinions of experts to analyze the water situation The current situation in Egypt and an analysis of the reasons for the quantitative and qualitative deficit in water resources, including it may contribute to the development of a proposal for policies for planning and managing water resources in light of climate changes and measuring the extent of its application in Egypt.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".