“An Endless Cycle of Worry and Hardship”: The Impact of COVID-19 on the Food Security of Somali Migrants and Refugees in Nairobi, Kenya
Bibliographic record
Abstract
COVID-19 has produced unprecedented effects on the global economy and society by exposing multiple weaknesses and faultiness. The pandemic has disrupted global and local agricultural production processes and food supply chains with negative consequences for food security. Containment measures to limit the spread of COVID-19, including strict restrictions on the movement of people, goods, and services have affected urban food systems adversely in multiple ways. Urban migrants and refugees in many parts of the Global South have been disproportionately hit by these measures, increasing the precarity of their living conditions and exacerbating the food insecurity of the migrants’ households. Based on the results of a household survey and in-depth interviews with Somali migrants in Nairobi, Kenya in August 2022, this study documents the pandemic-related experience of these migrants in food access and consumption and assesses the overall impacts of COVID-19 on their food security. This study seeks to contribute to the emerging body of case study evidence that assesses the food security outcomes of the pandemic in vulnerable populations.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".