Management of veld fires by newly settled farmers and related small-scale business opportunities
Bibliographic record
Abstract
The central regions of South Africa experienced an abnormally high precipitation during the first quarter of 2009, thus resulting in an unusually high probability of veld fires due to the excessive amounts of fuel / grass available. In South Africa the process of land redistribution was recently drastically accelerated. This implies that many newly settled black farmers are fanning but still need to be trained in various aspects of farm management. Unfortunately, in most cases this training did not include environmental management, which among others, implies managing and preparing for veld fires. The Department of Water Affairs and Forestry also does not have sufficient funding to cover all these aspects and a regional collaborative plan must therefore be developed. In addition to this, in an attempt to alleviate poverty, many other previously disadvantaged people in South Africa must be assisted in establishing small business enterprises. This paper will highlight a process to be followed to train and coordinate all farmers and simultaneously establish business opportunities that will remove some of the fuel (grasses and shrubs) in order to reduce the risk and intensity of winter and spring veld fires.
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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".