Sistema Integrado de Comercialização para Produtos da Agricultura Familiar
Bibliographic record
Abstract
Os pequenos agricultores sofrem com diversas desvantagens competitivas. Uma dessas desvantagens é a falta de ferramentas informacionais que os auxiliem no processo de comercialização. Assim, o Núcleo de Solidariedade Técnica (Soltec/NIDES/UFRJ) iniciou o desenvolvimento do Sistema Integrado de Comercialização para Produtos da Agricultura Familiar (SIPAF). A proposta do trabalho é, sob esse contexto, trabalhar no desenvolvimento de sistemas de apoio às feiras de comercialização de produtos da agricultura familiar. Para isso, foi iniciado um diálogo com a feira Terra Crioula (https://www.facebook.com/TerraCrioulaMST/), que comercializa cestas agroecológicas e acontece quinzenalmente no Rio de Janeiro. O que antes era feito manualmente foi substituído pelo site http://cesta.repos.net.br, no qual os clientes interessados se cadastram e podem comprar os produtos que desejarem. Neste artigo, analisamos o desenvolvimento desse sistema, os resultados apresentados até o momento e as perspectivas futuras do projeto.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.016 |
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".