AÇÕES EXTENSIONISTAS EM MEIO A PANDEMIA
Bibliographic record
Abstract
Apesar da ampla veiculação de notícias e recomendações acerca da pandemia do novo Coronavírus - e da doença COVID-19 - o EMAU Maré e o grupo ATHIS da UFRN identificaram que a linguagem e a representação dessas eram muito técnicas, e viram a necessidade de produzir um material de mais fácil compreensão direcionado para as comunidades populares. O conteúdo audiovisual também partiu da urgência de repensar a extensão universitária em um contexto de distanciamento social, visualizando a internet e as redes sociais como um instrumento para que os grupos extensionistas pudessem fomentar a discussão da saúde nos assentamentos populares. Assim, neste artigo será discutida a necessidade de criar material que corresponda à realidade dessas pessoas e serão apresentados a metodologia, o conteúdo e o público-alvo da cartilha e dos vídeos produzidos pelo grupo. Palavras-chave: extensão; Covid-19; assentamentos populares; linguagem acessível; cartilha informativa.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".