Environmental and social consequences for moving beyond archaic legislation and policy: delay and disjoint in water governance, Malawi
Bibliographic record
Abstract
Abstract As in many sub-Saharan African countries with increasing demand for natural resources, how to move from archaic water legislation to new and up-to-date policies that cover both environmental and social consequences of water governance has become an issue. This study reviews Malawi's current governance framework and recommends a framework that takes Malawi's developmental needs into account. Our review of the state of water legislation shows that there is a lack of enforcement of the policies themselves and the public is not even aware of its existence. Lack of enforcement and public awareness have resulted in environmental degradation which is creating a lot of environmental problems for the citizens of Malawi. This work recommends future efforts in rationale evidence-based policy and legislation review that involves and is supported by multiple stakeholders. We also recommend the need for routine policy and legislation reviews in order to take advantage of cutting-edge solutions to water management issues. This will not only enhance general awareness of key environmental policies and legislation but benefit from coordinated efforts from various players to arrest the ongoing environmental degradation resulting from an incoherent policy and apathy from Malawians.
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 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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".