Net-ativismo ameríndio em podcast
Bibliographic record
Abstract
O artigo apresenta o estudo sobre os usos de recursos jornalísticos audiofônicos para ações net-ativistas no combate do novo coronavírus (SARS-CoV-2) feitos por comunidades ameríndias conectadas à internet, na região amazônica brasileira. Como método de pesquisa este estudo parte da netnografia, com procedimento de análise e coleta de dados em sites, blogs, web rádio, redes sociais, com foco em podcasts. Desse modo, espera-se contribuir para o debate teórico e metodológico das ciências da comunicação, considerando questões pertinentes a respeito da prática e apropriações da comunicação digital, por povos originários no contexto da pandemia. Entre os resultados alcançados, contatou-se que os podcasts reforçam as orientações sanitárias, a importância de isolamento nas terras indígenas, a valorização da alimentação tradicional, sem contar com o registro e compartilhamento da percepção deles sobre esse período.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".