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Record W7072194370

Welcome, young entrepeneurs!: Discursos sobre o empreendedorismo em coleções didáticas de língua inglesa do novo ensino médio

2023· article· en· W7072194370 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicRural and Ethnic Education
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurshipRationalitySubject (documents)Field (mathematics)English languageWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

O artigo analisa discursos sobre o empreendedorismo em duas coleções didáticas de Língua Inglesa aprovadas no Programa Nacional do Livro e do Material Didático (PNLD), edição de 2021, em consonância com a Reforma do Novo Ensino Médio (BRASIL, 2017). O objetivo do estudo consiste em relacionar os discursos acerca do empreendedorismo no material didático antes referido com os desígnios da racionalidade neoliberal no campo da educação e, de modo mais específico, no ensino de inglês como língua estrangeira. Busca-se respaldo, especialmente, em Foucault (2008; 2010) e em Dardot e Laval (2016). Trata-se de um trabalho descritivo-interpretativo e documental, de natureza qualitativa. Os discursos sobre o empreendedorismo nos livros estudados encontram-se matizados pela racionalidade neoliberal, uma vez que celebram o sujeito empreendedor como um modelo de sucesso a ser seguido pelos discentes e fortalecem a ideia de que o aprendizado da língua inglesa representa um trunfo no mercado concorrencial.

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)0.007
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.010
Scholarly communication0.0080.007
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.018
GPT teacher head0.302
Teacher spread0.284 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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