Fabricante e remendador de redes de pesca: um olhar a partir da etnografia visual
Bibliographic record
Abstract
O presente paper, de caráter exploratório-descritivo, tem por objeto de estudo uma atividade artesanal que está em claro processo de desaparecimento no litoral sul do estado do Espírito Santo: o(a) ofício de remendador(a) e fabricante de rede de pesca artesanal. Busca-se realizar o registro de tal atividade em sua riqueza sócio-antropológica por meio da etnografia visual, convidando os leitores a entrarem na espessura da memória contida nas imagens, numa posição de interlocutores e leitores. Contatou-se, dentre outros pontos, que as transformações das condições de realização da atividade têm provocado mudanças em suas práticas sociais.Palavras-chave: Remendador de Rede de Pesca. Desaparecimento. Antropologia Visual.Maker and patcher of nets: a look from the perspective of visual ethnographyAbstractThis article, of an exploratory-descriptive nature, has as its objective the study of a craft which is clearly in the process of disappearing from the southern coast of the state of Espírito Santo: the craft of the repair and production of fishnets. We are attempting to create a record of such activity in its socio-anthropological richness by means of visual ethnography, inviting readers, as speakers and readers, to go back into the thickness of memory contained in images. It was noted, among other points, that changes in the conditions for undertaking this activity have caused changes in its social practices.Keywords: Fishnet Patcher. Disappearance. Visual Anthropology.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.018 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".