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Record W4401090250 · doi:10.1590/2176-4573p64072

Experimentação pós-moderna nos livros-álbum de Anthony Browne: a reinvenção de um cânone da Literatura Infantil e Juvenil

2024· article· pt· W4401090250 on OpenAlexfundno aff
Carina Rodrigues, Ana Isabel Pinto

Bibliographic record

VenueBakhtiniana Revista de Estudos do Discurso · 2024
Typearticle
Languagept
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaInternational Council for Canadian Studies
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

RESUMO Este artigo1 pretende evidenciar as características do livro-álbum pós-moderno, concretamente, na obra de Anthony Browne, criador britânico de reconhecido valor na conformação deste segmento privilegiado da edição infantojuvenil contemporânea, cuja narrativização resulta da relação triádica texto-imagem-suporte. A revisitação do conjunto da sua obra, a partir de um corpus necessariamente restrito e mais representativo, propõe evidenciar as potencialidades estético-literárias e formativas de uma produção sui generis, reconhecendo o seu contributo na consolidação de um novo paradigma da literatura para a infância. Partindo de anteriores investigações em torno das recentes tendências do livro-álbum, com destaque para teorizações relativas aos conceitos de intertextualidade e metaficcionalidade - estratégias fundadoras da “escrita” do autor apreciado -, observam-se procedimentos formais, retórico-estilísticos e ideotemáticos numa leitura dialógica das componentes verbal e visual, concluindo-se acerca das suas exigências ao nível da receção, bem como do seu impacto na educação literária, crítica e reflexiva dos seus destinatários preferenciais, embora não exclusivos.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.020
GPT teacher head0.291
Teacher spread0.271 · 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 designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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