Rescue of indigenous knowledge in the practice of integrated fire management, TIs Xerente e Funil, Tocantínia, Tocantins, Brasil
Bibliographic record
Abstract
The Xerente Indigenous Communities, resident in the Xerente and Funil Indigenous Lands (TIs), located in the Cerrado biome, city of Tocantínia, Tocantins, Brazil, contribute to the Federal Brigades Program from Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis (IBAMA) and implemented by the National Center for Forest Fire Prevention and Fighting (PREVFOGO), which has as one of its main objectives to implement Integrated Fire Management in Indigenous Lands, both in preventing and fighting forest fires. The Program began in 2013 and the Xerente people with their knowledge and experience had a great influence on changing forest fire prevention strategies, since these fire were indeed severe and degraded their fauna and flora. The Indigenous people collaborated with the Xerente Indigenous Federal Brigade, which operates in the two aforementioned TIs. At the beginning of the Program's execution , there were some disagreements with the traditional knowledge, because during the Brigade Formation course, promoted by PREVFOGO/IBAMA, the Brigadistas were instructed not to let it burn, and that, all detected fire should be extinguished. Thus, there were a conflict between indigenous culture and the strategy adopted by the Brigade, as the Elders (older indigenous) did not accept this strategy and began to advise the Brigadists about the importance of using fire in the post-rain season, when vegetation is still damp, preventing the managed fire from becoming a forest fire and knowing where it would naturally go out. Meetings between PREVFOGO/IBAMA servants and Elders occurred and there they described the way their ancestors managed fire. The servants valued these popular wisdom and it was build a historical landmark of trust, participation, knowledge exchange and zeal for use of fire. Strategies to prevent major fires were jointly developed. Thus, there was a rescue of the use of fire by the Xerente People, through prescribed burns following the recommendations of the Elders, based on the themes: clearing fire for hunting, cleaning around the villages and farms, ensuring fruiting and escape route to animals. In this sense, every year there has been a reduction of major fires in the Xerente and Funil ITs
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".