Management of Açai Areas in the Sustainability-Oriented Supply Chain in the Municipality of Abaetetuba-Pará
Bibliographic record
Abstract
The objective of this work is to characterize the areas of Açaí management focused on sustainability and identify impacts caused by its exploitation, in the municipality of Abaetetuba (Pará), Brazil. Therefore, information was collected on the Açaí management system, showing and verifying the impacts of production on the continuity of production based on sustainability. As the methodology, a documental analysis was carried out, which was done through research carried out and data from IBGE (Brazilian Institute of Geography and Statistics) and BASA (Amazon Bank S.A.) in PRONAF (National Program for Strengthening Family Agriculture), INCRA (National Institute of Colonization and Agrarian Reform) and through literature: articles, theses, dissertations, etc. The considerations point out the impacts that intensive management can generate on production and that the use of traditional management that has lesser impacts can ensure less impact on the environment and generate a balance in production, contributing to productive maintenance besides reducing impacts on the environment, providing local farmers with a capacity for sustainability, as it aids families socially, strengthening the economy and balancing the environment.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".