Hunger, Anger and Strangers: Assembling Refugee Exclusion and Food Insecurity among Refugees and Asylum Seekers in South Africa
Bibliographic record
Abstract
Abstract This chapter analyses the intersection of migration governance, societal xenophobia and food security for refugees and asylum seekers in urban South Africa. Utilising the ‘assemblage of refugee exclusion’ framework, it examines how state policies and practices, along with public xenophobia, perpetuate the food insecurity of these vulnerable groups. By analysing the legal and institutional mechanisms that contribute to their precarious status, the chapter highlights the compounded effects of legal constraints, xenophobic violence and systemic barriers to employment and social integration on food access and security. Through detailed fieldwork and interviews with displaced individuals, the study uncovers the critical challenges they face in navigating a hostile urban landscape marked by exclusionary practices, physical insecurity and restricted access to resources. The findings underscore the need for a holistic understanding of food insecurity that considers the sociopolitical dynamics affecting forcibly displaced populations, calling for policy interventions that address the root causes of exclusion and precarity in the context of urban migration.
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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 | 0.001 | 0.001 |
| 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 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".