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Record W4280496465 · doi:10.51891/rease.v8i4.5159

ENSINO DA LÍNGUA INGLESA EM TEMPOS DE ENSINO REMOTO

2022· article· pt· W4280496465 on OpenAlexaff
Astrogilda Silva de Oliveira, Carlos Henrique da Silva Santos, Fabiana Angelo, Delze Maria Xavier Bispo Rezende, Lorraine Rossmann Gonçalves

Bibliographic record

VenueRevista Ibero-Americana de Humanidades, Ciências e Educação · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

A literatura possui diversas tipificações e abordagens, que se manifestam em obras literárias. A literatura infanto-juvenil ocupa um papel estratégico no ensino de Literatura no ensino fundamental, com obras literárias que possuem linguagem e abordagem de temas condizentes com as demandas de aprendizagem de uma geração de alunos, que se encontram já inseridos na cibercultura. O objetivo deste estudo consiste em discutir sobre os desafios em se desenvolver estratégias de ensino para trabalhar as obras de literatura infanto-juvenil no ensino fundamental, considerando o contexto de cibercultura. Este estudo se caracteriza como uma pesquisa bibliográfica. A relevância deste estudo consiste na importância de se desenvolver o ensino de Literatura no ensino fundamental, por meio de estratégias de ensino e obras literárias que atendam as demandas de aprendizagem dos alunos. As estratégias de ensino de Literatura podem trabalhar as obras literárias infanto-juvenis por meio do diálogo entre o leitor e o texto, utilizando-se de diversas formas de interações disponibilizadas pela cultura impressa e pela cibercultura.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.062
GPT teacher head0.336
Teacher spread0.274 · 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.

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
Published2022
Admission routes1
Has abstractyes

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Same venueRevista Ibero-Americana de Humanidades, Ciências e EducaçãoSame topicEducation and Digital TechnologiesFrench-language works237,207