Rainfall and Deforestation Dilemma for Cereal Production in the Sudano-Sahel of Cameroon
Bibliographic record
Abstract
Time series data reveals that the Sahel of Cameroon has experienced several years of deficits in cereal production. The debate attributes the observed trends to low rainfall. Uncertainties in the debate on the role of rainfall as a principal causal factor are evident and need verification. Both field and desk studies have been used; this involved the administration of 200 questionnaires and focused group discussions. The desk studies included detailed literature review and analysis of Normalized Difference Vegetation Index (NDVI) satellite images of vegetation and rainfall from the Global Precipitation Climatology Project (GPCP). The results show that cereal production has declined while rainfall has increased by 30-40% in the last decade in the study area. With an increase in rainfall, the observed decline in cereal production cannot be explained by climate only. Land use changes such as deforestation patterns are significant in explaining the trends in cereal output as seen in population perceptions.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".