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Aquisição de uma língua estrangeira: Um estudo sobre o processo de aprendizagem de Língua Inglesa em uma escola de idiomas

2020· article· pt· W2979496165 on OpenAlexaff
Marta Joelma Bezerra, Leonardo Manuel das Neves Rocha

Bibliographic record

VenueRevista Científica Multidisciplinar Núcleo do Conhecimento · 2020
Typearticle
Languagept
FieldArts and Humanities
TopicLinguistics and Education Research
Canadian institutionsAlectos (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O presente trabalho teve como foco de estudo a aprendizagem de Língua Inglesa em uma escola de idiomas, na cidade de Natal, Brasil. Para isso, trabalhamos com dez professores e quarenta alunos de Língua Inglesa, nas unidades da escola de idiomas investigada. O Inglês está em todas as áreas das ciências, nas artes e no mercado de trabalho. Esta pesquisa foi realizada através de observação em salas de aula, conversas informais e questionários com os respectivos professores e alunos, para que pudéssemos detectar como se realiza a aprendizagem destes alunos. Os resultados indicam que os professores têm uma metodologia adequada e oferecem um ensino de qualidade para os educandos. Mais da metade dos alunos pesquisados possuem um nível de proficiência na Língua Inglesa suficiente para se comunicar no idioma.

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)0.005
metaresearch head score (Gemma)0.014
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 score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.009
Scholarly communication0.0080.006
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.060
GPT teacher head0.333
Teacher spread0.273 · 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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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