Involvement of Women in Adopting Climate Change Adaptation Practices in Cacao Farming in Côte d’Ivoire
Bibliographic record
Abstract
The adverse effects of climate change are leading producers to adopt endogenous strategies. Nevertheless, the involvement of women in the adoption of adaptation practices was assessed in the localities of Abengourou, Gagnoa, Soubré and Vavoua. Interviews with cocoa farmers, 69 female and 288 male, show that drought (77.8%) is one of the most observed climatic factors by farmers in cocoa farms. In order to reduce the effects, 27% of women farmers preferred to set up nurseries close to water points and at home, compared to 15.2% of men. 73.7% Women leave the plants for 4 months before planting compared to 59.2% of men. In soil fertility management, 67.9% of women use leguminous plants as cover crops, compared to 52.8% of men. During the rainy season, they ferment the beans for 6 days (35% compared to 22% of men) and harvest the pods at least once a week (16% compared to 1% of men) in the absence of rain. Women are strongly involved in the adoption of practices at all stages of cocoa production. In terms of adaptation, it would be important that the practices identified be integrated into the training of women producers to enable them to be resilient.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".