The Growth of Food Banking in Cities of the Global South
Bibliographic record
Abstract
As the number and size of food banks increase globally, it is critical to research how food banks fit into existing food systems and their role in reducing food insecurity and food waste. After examining the political ecology of urban food waste in food systems, this discussion paper examines the globalization of food banking and its growth in the Global South. Through a case study of FoodForward SA, it critically analyzes the roles that urban food banks play in cities of the Global South. Since many countries in the South have both the highest levels of food insecurity and the weakest infrastructure, it is in these high-need locations that food banks may struggle to operate effectively. The paper finds that while food banks may improve the efficiency of food redistribution systems, it is unclear whether they reduce food insecurity or food waste in the long term. Also, many food banks suffer institutional crises related to lack of funding, interference by the state or private sector, and inappropriate placement in many parts of the Global South.
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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 | 0.001 | 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 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".