Perception of Dew by Cereal Growers in Semi-Arid Climate (Guéné, North Benin)
Bibliographic record
Abstract
West Africa is one of the regions the more impacted by climate change, concerning in particular droughts and lack of fresh water. In this context was carried out a study of the sociological perception of dew as alternate source of water by cereal's growers in Gun (semi-arid region, north Benin). Ten data collectors were formed to fill out questionnaires, addressed to 100 cultivators in 2014. Data analysis takes into account respondents' gender, their ages and the type of cereal they cultivate. Close to 80% of the growers experienced dew assistance when sowing cereals. During rain shortage, 44% of the farmers rely on dew occurrence to compensate for lack of rain water. Among farmers, 80% account for dew before and during cereals growth. For 99% of growers, dew plays an important role for cereal growth, as stated in scientific literature. However, 17% point out a possible negative role of dew, favoring dissemination of plant diseases. Farmers (87%) are open to any technology capable of collecting enough dew water for agriculture, but they remain skeptical about such discoveries. Responses only slightly vary when considering the gender and the ages of the farmers but they vary strongly when considering the type of cereal.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".