Do mar à mesa: a pesca e a alimentação em Arraial do Cabo entre as décadas de 1930 e 1960
Bibliographic record
Abstract
From a fishing village dedicated almost exclusively to fishing to the seat of a large chemical industry of national interest: since the creation of the Companhia Nacional de Álcalis (National Company of Alkalis) by decree, in 1943, until the effective beginning of its operations in 1960, Arraial do Cabo lived a process of economic and social transformation that aroused the interest of researchers and research institutions that sought to know more about the habits and customs of the local population, who had fishing as their main economic source and as the center of the social life of their residents. The present work seeks to analyze the research carried out in Arraial do Cabo during the decades of 1930 to 1960 and to understand the dynamics of the process of artisanal fishing - from the sea - and salting of fish practiced in Arraial do Cabo, in order to know the products used in the food of its inhabitants and to record the recipes and ways of preparing - at the table - the fish and other foods consumed by the population between those decades. Among the subjects of these narratives are fishermen, fish merchants, women salt processors and witnesses of this period who shared their stories and memories during the interviews conducted to carry out this work
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".