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BELEZA, POESIA, REFLEXÃO: JOSÉ JORGE LETRIA E ANDRÉ LETRIA EM A GUERRA

2022· article· pt· W4308003742 on OpenAlexaff
Fernanda Maria Oliveira Araujo, Egidio Shizuo Toda

Bibliographic record

VenueRevista Foco · 2022
Typearticle
Languagept
FieldArts and Humanities
TopicLinguistics and Education Research
Canadian institutionsKimberly-Clark (Canada)
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Pretende-se com este artigo visitar A Guerra (Pato Lógico, 2018) de José Jorge Letria e André Letria, livro de força poética que aproxima poesia e ilustração primorosamente. Com vista a identificar as características que o elevam à classificação de livro-álbum lírico, as possíveis emoções e reflexões que evocam a combinação do texto poético do autor José Jorge Letria com as imagens do ilustrador André Letria serão analisadas. Publicações do livro-álbum lírico com suas especificadas que o diferenciam do álbum ilustrado e do livro álbum-narrativo crescem no mundo editorial, mas por vezes são classificados de modo simplista.

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)0.009
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0080.009
Scholarly communication0.0100.005
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0070.002

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 head0.080
GPT teacher head0.336
Teacher spread0.257 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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