Livelihood Strategies Shape Vulnerability of Households' Food Security to Climate in Senegal
Bibliographic record
Abstract
We integrate long-term observations of rainfall and repeat, large-scale, nationwide household surveys of nutrition and socio-economic status to assess the vulnerability of food security to climate in Senegal. We use a mixed methods approach and a vulnerability framework to explain how it is that food security is on average lower, and more variable year-to-year, in the climatologically wetter south and east of the country than in the drier western center and north. We find that it is sensitivity to climate that explains the spatial variation in food security, while exposure explains its temporal variation, but only where sensitivity is high. While households in the western center and north, geographically closer to the political and economic center of action, are less dependent on livelihoods based on climate-sensitive activities, notably agriculture, these activities still dominate in the more remote, landlocked and at times conflict-ridden south and east, where sensitivity to the vagaries of rainfall persists. As they work to strengthen the resilience of climate-sensitive activities, food security and climate-risk management projects and policies should move beyond simplistic, deterministic assumptions about how climate affects food security outcomes, and invest in livelihood diversification to increase rural income and reduce vulnerability of food security to climate.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".