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Record W2899075703

O ensino de artes de pesca com maquetes em uma escola pública na Baixada Santista

2018· article· pt· W2899075703 on OpenAlexaboutno aff
Teodoro Vaske‐Júnior, Giuliana Valente Ferreira, Roberta Gomes da Silva, Camila Regis Segala, Natalia Gouveia de Castro, Nicole Russo Guerrato, Jéssica dos Santos Muniz Knoeller

Bibliographic record

VenueUNISANTA. BioScience · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicScience and Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsFishingFishing villageExhibitionScale (ratio)GeographyArtisanal fishingScholarshipFisheryCartographyPolitical scienceBiologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The teaching of fishing gears with scale models in a public school in the Baixada Santista. The aim of this work was to bring and maintain the knowledge of fishing and fishing gears for secondary schools in the Baixada Santista through the confection of scale models of the most used fishing gears in the region. For the study it was chosen a class of elementary education of the Canada State School in the city of Santos-SP. With the support of a schoolarship student and two other academic volunteers of the Biological Sciences Course of UNESP-CLP, at the end of the activities, four fishing models were made in duplicate, being trawling, gillnet, castnet, trap, and also one knotboard and one hookboard. A model of each art was exposed for exhibition in the Canada State School and another one was in the campus of UNESP-CLP. The results highlighted UNESP in places where it was not known, through the dissemination of the permanent symbol of UNESP in the scale models, as well as the results in the qualification and exchanging experiences between scholarship students and volunteers students. Keywords : Fishery, Miniature, Nautical knots, Fishing technology.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.065
GPT teacher head0.398
Teacher spread0.333 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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