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Record W2905356049 · doi:10.1590/0104-4060.62762

Em busca da relação (im)possível: entre a educação literária e a educação artística

2018· article· pt· W2905356049 on OpenAlexfundno aff
Mafalda Franco, Ângela Balça

Bibliographic record

VenueEducar em Revista · 2018
Typearticle
Languagept
FieldArts and Humanities
TopicLinguistics and Education Research
Canadian institutionsnot available
FundersEuropean Regional Development FundFundação para a Ciência e a TecnologiaUniversidade do MinhoInternational Council for Canadian Studies
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

RESUMO Este estudo aborda a relação entre literatura infantil e expressões artísticas na escola; entre a educação literária e a educação artística. Os principais objetivos do estudo foram: dar a conhecer autores, ilustradores e textos de literatura para a infância; promover a formação do leitor literário; promover às crianças a relação entre a literatura e as expressões artísticas; promover a formação cultural e artística das crianças. Para este estudo convocamos a metodologia da investigação-ação e ele foi desenvolvido com crianças que frequentavam o 2.º ano do ensino básico. Os resultados do estudo permitiram-nos concluir que um trabalho que relacione, na escola, a literatura para a infância e as expressões artísticas proporciona às crianças o prazer e o gosto pela leitura; estimula a imaginação e a criatividade; desenvolve a construção de um leitor crítico; possibilita o estabelecimento de relações entre o texto literário, as ilustrações e as expressões artísticas.

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)0.004
metaresearch head score (Gemma)0.017
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0050.010
Scholarly communication0.0170.008
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0180.002

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 head0.060
GPT teacher head0.339
Teacher spread0.278 · 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

Citations8
Published2018
Admission routes1
Has abstractyes

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