Review of key initiatives and approaches to adaptation planning at the national level in semi-arid areas
Why this work is in the frame
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Bibliographic record
Abstract
Semi-arid areas are found in a large number of countries and regions of Africa and South and Central Asia. They display high vulnerability to climate change with considerable adaptation needs. In this paper, we review country-level and multi-country projects supported by international agencies. We examine the priorities and goals presented in national adaptation planning documents and in sectorial planning documents. Through this analysis, we seek to compare adaptation needs with current trends in national, regional and global projects and collaborations. Our results suggest that initiatives supported by international agencies play a considerable role in achieving national adaptation priorities, especially in areas such as agriculture and water management. However, compared with specific adaptation options such as drought-resistant species and irrigation (which tend to be the scope of the projects), the analyzed documents tend to see challenges in agriculture more in the contexts of food security, livestock and rural development. They emphasize the strong connection between rural livelihoods and sustainable land and ecosystem management. Priorities listed in the national documents but not captured in current initiatives include human health, pastoralism, security and migration. Our results also show high levels of mainstreaming adaptation into sectorial planning documents, especially those on poverty reduction; however, compared with the focus on the project level, they here emphasize adaptations focused on institutional development and governance. Finally, the outcomes indicate that global, regional and national initiatives are distributed unequally and that countries in Central and West Africa and Central Asia currently exhibit low participation, especially in national projects.
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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 | 0.000 | 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 | 0.000 | 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