Cooperativas de nova geração e a agroenergia no Brasil.
Bibliographic record
Abstract
This study presents a first approach towards the New Generation Coopera tive (NGC) thematic and wants to find out whether it can be an alternative to the Brazilian agroenergy sector development, specifically the biodiesel market. It's presented the story of the first NGC in the USA and Canada and their experiences with the agribusiness and agroenergy business. A comparison has been made between these experiences and the Brazilian cooperative story and the Brazil's National Alcohol Program (Proalcool), looking for elements to help justify the adoption of NGC in Brazil. NGC is not a solution to any business. In spite of the fact NGC was built from the cooperativism ideals, its evolution is based on the capitalism perspective. It demands professional management skills and high investments, what defines the needs for high education degree of the farmers and increase in the business risk. NGC is not an spontaneous phenomena, but a rational answer to changes in the rural business. The well succeeded cases point to three conditions for NGC adoption: business characteristics; farmer's characteristics; and institutional environment. The best businesses were those focused in the costumer's needs, dealing with high technology production processes, adding value, research-developmentinnovation dependent and market oriented. The farmers must have previous experience with cooperatives and organizational management, willing to accept more risks and share them. The institutional environment must give support through public policies, but none of them must lead the NGC implementation. NGC should be considered in future plans and programs in the Brazilian agroenergy sector. In the Brazilian biodiesel market, NGC is more interesting in business concerned to local development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".