Integrating wood fuels into agriculture and food security agendas and research in sub-Saharan Africa
Bibliographic record
Abstract
In sub-Saharan Africa (SSA), food security can be influenced by many factors including farmer productivity, access to soil amendments, labor availability, and family incomes (just to name a few). In this paper, we suggest that an additional issue contributes to food insecurity and has been historically absent from the discussion, namely access to cooking energy, particularly for very low income, food insecure individuals. This paper examines the most recent literature that describes the central role played by wood fuels, in particular firewood and charcoal, as a vital, though controversial, source of fuel used by the vast majority of rural and urban sub-Saharan Africans. We explore the reality that although the health risks of collecting and using firewood and charcoal in traditional manners are real, policy makers, researchers, and donors need to address the sustainability and viability of the current fuel types used by the majority of people. We end the paper with a series of practical suggestions for improving the wood fuel systems as they currently exist in the region.
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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 | 0.013 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".