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O ALIENISTA, FROM MACHADO DE ASSIS: FROM TALE TO COMIC BOOK IN THE FORMATION OF YOUNGER READERS

2024· article· en· W4391577633 on OpenAlexaff
Carlos Sander Metzdorf, Ivânia Campigotto Aquino

Bibliographic record

VenueRevista Foco · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature, Culture, and Aesthetics
Canadian institutionsOuranos
Fundersnot available
KeywordsComicsArtMachado–Joseph diseaseHumanitiesLiteratureHistoryPsychology

Abstract

fetched live from OpenAlex

Comic books were, for a long time, marginalized and framed as an empty, contentless form of entertainment. However, they are currently read by people of all ages and all over the world. As a consequence of this, comics began to gain prominence, marking their presence in schools and being used to encourage the practice and taste for reading on the part of children and adolescents, showing themselves not only in works originally created in this format, but also in adaptations of literary classics, such as The Alienist, by Machado de Assis. The research, therefore, aims to address adaptations of classic titles, with the aim of showing how they, when used together with the original works, can instigate and encourage reading, with comparative elements as the analysis composition. At the end of the research, the main result of the investigation will consist of demonstrating the use of these texts to encourage literary reading, making use of previous strategies, involving pre-reading, reading and post-reading.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.769
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.239
Teacher spread0.217 · 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 teacher head, 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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