Pescadores e botos: histórias de uma conexão em rede
Bibliographic record
Abstract
“Todo mundo deveria saber o que acontece aqui, sobre os botos e da pesca com eles. Saber como eles ajudam o pescador...”. Com o objetivo de contribuir para a conservação da pesca cooperativa na Barra do Rio Tramandaí a partir de um instrumento didático, realizamos uma investigação qualitativa, que recorreu a abordagens do campo da antropologia visual (fotografia) e de relatos orais de métodos biográficos (histórias de vida/depoimentos). A interação entre essas estratégias permitiu a construção de uma exposição fotográfica itinerante, construída com curadoria dos próprios sujeitos que a significam. Enquanto a imagem parece capaz de valorizar os pescadores e sua prática cultural de forma estética, as narrações baseadas em histórias ampliam oportunidades de expressão e protaganismo destes pescadores artesanais. Palavras-chave: Pesca Cooperativa. Pescadores artesanais. Botos. Educação Ambiental. Conservação. Fishermen and dolphin: a network connection history This study aims at contributing to the conservation of the human–dolphin cooperative fishery in the Imbé/Tramandaí estuary, south Brazil. We used an educational, sensitizing tool to carry out a qualitative survey, based on both the visual anthropology approach (photography) and oral accounts of life stories/testimonials (biographical method). The combination of these approaches lead us to produce an itinerant photography exhibition exploring human–dolphin cooperative fishery, under curatorship of fishermen themselves. While photography enhances fishermen and their cultural practice aesthetically, biographical testimonials expands their way of expressing themselves and our and our ability to help preserve human-dolphin interactions. Keywords: Cooperative fishing. Artisanal fishermen. Dolphin. Environmental education. Conservation.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".