Evaluation of the Sustainability of Sugarcane Expansion in the State of Goiás
Bibliographic record
Abstract
The expansion of sugarcane cultivation, and the development and modernization of the sugarcane sector, have contributed to the strengthening of Brazilian agribusiness, thereby contributing to the growth of the country's economy. Thus, it is necessary to adapt agricultural or agro-industrial activities so that the entire productive system has a positive impact on the environment and society. In this sense, the objective was to evaluate the sustainability of the expansion of sugarcane cultivation in the State of Goiás. The methodology was based on the application of the Sustainability Barometer-SB Method. Thus, subsidies were provided to create a portrait of the sustainability of the expansion of the culture in the state. The results indicated that the sector occupies a medium/intermediate position in relation to Sustainability according to SB. We conclude that the method has the potential to be an important tool in assessing the sustainability of the sugar-energy sector in Goiás.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".