As fronteiras entre homem-gado-floresta
Bibliographic record
Abstract
O aumento da prática da pecuária em reservas extrativistas na Amazônia levanta preocupação quanto ao futuro destas áreas no cumprimento da função de proteger os meios de vida de comunidades extrativistas e de garantir a utilização e a sustentabilidade dos recursos naturais. Até que ponto a pecuária como prática pode influenciar a mudança do uso e ocupação destas áreas protegidas? Este artigo trata da relação multiespécie entre homem-gado em uma comunidade ribeirinha do Vale do Juruá. O artigo mobilizará dados empíricos sobre os hábitos alimentares, a criação do gado e a percepção sobre a floresta da Comunidade Periquito da Reserva Extrativista Riozinho da Liberdade. Ao pensar "junto" e "com" o artigo tenta compreender as fronteiras possíveis entre a tríade homem-gado-floresta.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.031 | 0.005 |
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; both teacher heads agree on what is shown here.
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".