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Mudanças na estrutura familiar em livros infantis canadenses e brasileiros altamente recomendados

2013· article· pt· W1907710598 on OpenAlexaboutno aff
Newton Freire Murce Filho

Bibliographic record

VenueLeitura: Teoria & Prática · 2013
Typearticle
Languagept
FieldArts and Humanities
TopicLinguistics and Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

O objetivo deste trabalho e apresentar os resultados de um projeto de pesquisa sobre livros literarios para criancas altamente recomendados, produzidos no Canada e no Brasil recentemente. O projeto foi realizado com apoio do Governo do Canada, por meio do Understanding Canada Program . Duas instituicoes canadenses tiveram papel importante na investigacao inicial: The Canadian Children’s Book Centre (CCBC), em Toronto, e The Centre for Research in Young People’s Texts and Cultures (CRYTC), da Universidade de Winnipeg, em Winnipeg. No Brasil, a Fundacao Nacional do Livro Infantil e Juvenil (FNLIJ) constituiu fonte importante de pesquisa. Os objetivos principais do projeto sao: investigar livros canadenses literarios para criancas, recentemente publicados e recomendados, tendo como foco de atencao os modos como estariam representadas mudancas na estrutura familiar, especialmente no que concerne a figura do pai; identificar possiveis semelhancas e diferencas entre livros infantis canadenses e brasileiros, tambem recentes e recomendados.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.530

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.033
GPT teacher head0.280
Teacher spread0.247 · 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 designObservational
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".

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Citations1
Published2013
Admission routes1
Has abstractyes

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