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Record W6990612428

Do mar à mesa: a pesca e a alimentação em Arraial do Cabo entre as décadas de 1930 e 1960

2018· article· en· W6990612428 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAmericanae (AECID Library) · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood, Nutrition, and Cultural Practices
Canadian institutionsnot available
Fundersnot available
KeywordsFishingPopulationFish <Actinopterygii>Fishing industrySaltingWork (physics)Order (exchange)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

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

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.001

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.

Opus teacher head0.012
GPT teacher head0.231
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it