‘Things are not working now’: poverty, food insecurity and perceptions of corruption in urban Malawi
Bibliographic record
Abstract
Malawi is one of the world's least urbanised countries, but its cities are growing rapidly and poverty in urban Malawi is becoming a prominent political issue. Food insecurity is a widespread manifestation of urban poverty in Africa, especially in informal settlements. This article is based on in-depth interviews with food insecure residents of Lilongwe’s informal settlements who, when asked why they were food insecure, overwhelmingly pointed to the Cashgate corruption scandal as a cause. There have been many political corruption scandals in Malawi, but the Cashgate scandal, which was revealed in September 2013 and reverberated throughout the political culture, has been among the most prominent and consequential of these scandals. The article seeks to contribute to literature on the political dimensions of urban food security in Africa while also presenting a way of understanding corruption from the point of view of vulnerable people whose lives have been directly and indirectly affected.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".