Gendered Adaptation Strategies Among Sahelian Pastoralists Facing Climate and Pandemic Shocks in Northern Nigeria
Bibliographic record
Abstract
Pastoralist communities in Nigeria's Sahel region are increasingly vulnerable to the compounded effects of climate change and public health crises such as the COVID-19 pandemic.This study explores gender-specific adaptation strategies in Bauchi and Gombe States, using a transformative mixed-methods approach involving 3,041 respondents.Quantitative surveys and qualitative interviews were conducted to assess the socioeconomic impacts of climate stressors and pandemicinduced disruptions on pastoral livelihoods.Findings reveal high levels of climate change awareness (>90%) but persistent livelihood losses, particularly in farming and livestock production.Statistical analysis using chi-square tests identified significant gender differences in coping mechanisms: women engaged more in premature harvesting and livelihood diversification, while men relied on sharecropping and outmigration.These results show a disproportionate adaptive burden on female pastoralists and underscore the need for gender-sensitive policy frameworks.The study recommends stronger investment in local climate adaptation, inclusive decision-making, and targeted support for women in pastoral systems.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".