WATER, ENERGY AND FOOD NEXUS INTERVENTIONS: IMPLICATIONS FOR THE ACHIEVEMENT OF THE SUSTAINABLE DEVELOPMENT GOALS IN MALAWI
Bibliographic record
Abstract
Malawi faces mounting challenges in meeting the growing demand for food, water, and energy to satisfy the needs of a rapidly growing population. Relying on secondary data, the paper argues that while the existing policy initiatives have increased food production to a certain extent, the demand for water and energy has also increased, leading to degradation of the resource base, and contributing to an increase in water-related diseases. Poor sectoral coordination and institutional fragmentation have triggered the unsustainable use of resources and threatened the long-term sustainability of food, water, and energy security in the country, posing challenges to achieving the Sustainable Development Goals (SDGs) in the country. Consequently, this paper substantiates that a nexus approach can enhance understanding of the interconnectedness of the sectors and strengthen coordination among them. However, it requires a major shift in the decision-making process towards taking a holistic view, and development of institutional mechanisms to coordinate the actions of diverse actors and strengthen complementarities and synergies among the three sectors. The framework for cross-sectoral coordination and managing the nexus challenges is also suggested.
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) | 0.000 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".