117 - ATES - uma experiência participativa e dialógica de assistência técnica
Bibliographic record
Abstract
A ATES e um dos projetos do PAC - Programa de Aceleracao do Crescimento, com parceria entre INCRA, Associacoes e orgao publicos e tem intuito de levar aos agricultores (as) novos conhecimentos que aumentem a producao, diminuindo a imagem negativa do que e assistencia tecnica, implantando dentro da sua realidade novas informacoes, levando em conta a experiencia do produtor (a). Ja nas capacitacoes em grupos, incentiva-se a interacao entre vizinhos. No evento macro, o contato com outros profissionais especialistas na area e facilitado. E nas Unidades Demonstrativas, toda essa informacao e aplicada na pratica, como forma de demonstrar os experimentos, para depois serem aplicados nas demais propriedades. Esse trabalho esta motivando os pequenos agricultores (as) no desenvolvimento da agroecologia como papel da agricultura familiar e no melhoramento da sua qualidade de vida, pois eles encontram nessa assessoria um novo ânimo para a busca da sua autonomia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.006 |
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; both teacher heads agree on what is shown here.
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".