Economic analysis of the cumaru almond production in agroforestry systems in Alenquer, Pará state
Bibliographic record
Abstract
Deforestation is one of the biggest problems on Amazon, which affects a large area in Para state, Brazil. Alenquer city (PA) presents most of its natural forests replaced by pastures, and that is compromising cumaru specie sustainability. It was evaluated economic viability of cumaru ( Dipteryx sp) almond with cassava in two Agroforestry Systems (AF) in Alenquer city. The economic evaluation criteria were: net present value, equivalent periodic benefit, benefit-cost ratio, land expected value and production average cost and family labor revenue considering two planning horizons (10 and 20 years), using a minimum attractiveness rate (MAR) of 7% per year. We analyzed price variation effect of labor, almond (Kg) and cassava flour (Kg) and minimum attractiveness rate in net present value (NPV) and both AF Systems were economically viable. Processing costs were the highest. Cassava commercialization contributed to net present revenue and reduced initial costs. System A, with smaller spacing, presented equivalent periodic benefit of R$4557.91 ha -1 . The NPL was more sensitive to variations in the price of flour and almond. This form of production is an alternative for profitable soil use in Para state.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".