Economias alternativas, ultraliberalismo e pandemia: Mulheres na agroecologia no Brasil
Bibliographic record
Abstract
A orientação ultraliberal e autoritária dos governos brasileiros desde 2016 implicaram o desmonte das políticas públicas de apoio às economias alternativas e colocaram suas e seus sujeitos num cenário de crise, aprofundado com a pandemia de COVID-19. Este artigo visa contribuir, desde uma perspectiva feminista, para a reflexão sobre o significado desse momento na trajetória da agroecologia, como parte das economias alternativas no Brasil. Baseia-se numa pesquisa com organizações de agricultoras agroecológicas conduzida em 2020 em duas regiões do país, por meio de entrevistas realizadas presencial e virtualmente. Propõe um marco conceitual das economias alternativas, articulando democracia, espaços públicos, solidariedade, pluralidade econômica e gênero. Evidencia os efeitos conflitantes do protagonismo feminino na agroecologia, entre construção de mercados solidários, aumento da produção e ganho de autonomia, por um lado, e reprodução da divisão sexual do trabalho e sobrecarga de trabalho, por outro.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".