Secondary supermarket revolution: food sources and food security in Northern Namibia
Bibliographic record
Abstract
Abstract A central feature of the transformation of urban food systems in cities of the Global South is the growing presence of supermarkets and their supply chains, often termed supermarketization or a supermarket revolution. A key issue in the African context is whether supermarkets are a threat to other sources of food including informal sector vendors. Most research on the supermarket revolution and competition with other food retailers focuses on large urban conurbations with little attention paid to the role of supermarkets in smaller urban centres. This paper aims to rectify this situation through a case study of the role of supermarkets in three small urban centres in northern Namibia. The paper uses data from a representative household food security survey in 2018 which collected detailed information on household food consumption and food purchasing patterns. We show that supermarkets have established a dominant role in the local food system and are patronized by almost all households. However, the informal food sector displays considerable resilience and is patronized on a regular basis by low-income households. Future research on the impact of the secondary supermarket revolution should examine the experience and strategies of informal food vendors and whether the relationship with supermarkets is truly symbiotic or not.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".