Food Insecurity During the COVID-19 Pandemic in Burkina Faso
Why this work is in the frame
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Bibliographic record
Abstract
This paper investigates the implication of the COVID-19 pandemic on household food insecurity in Burkina Faso. We used data from the High-Frequency Phone Survey collected from the period June 2020 to June 2021 by the World Bank in collaboration with the National Institute of Statistics. To assess the persistence of food inadequacy, we estimated a dynamic linear probability model. Our results revealed that female and elderly household members were more likely to skip meals during the pandemic than their respective counterparts. For households that skipped a meal due to the pandemic, the likelihood of facing food insecurity in the subsequent month increased by 37 percent. Similarly, individuals who ran out of food in consecutive months were 0.28 times more likely to experience the same situation in the following month. While other shocks can cause food insecurity, the global health-related, economic, social, and information dimensions of COVID-19 created a distinctive and multifaceted form of food shortage that sets it apart from many other types of shock. These findings suggest the implementation of effective programs to respond to shocks and the mitigation effects experienced by most disadvantaged groups.
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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 | 0.001 |
| 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 | 0.001 | 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 it