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Record W4384642624 · doi:10.58942/rqs.v4n2.202309

A nociva linguagem neoliberal na educação e as questões econômico-políticas

2023· article· pt· W4384642624 on OpenAlexaboutno aff
Verissimo dos Santos Furtado Filho, Arlison Frank Lisboa Alves

Bibliographic record

VenueRevista Quero Saber · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyHumanitiesSociology

Abstract

fetched live from OpenAlex

Com este artigo, tem-se por objetivo discutir a relação entre a educação e as questões econômico-políticas, com ênfase na influência da lógica neoliberal na concepção da aprendizagem delineada nos documentos oficiais sobre a educação básica, como a Lei de Diretrizes e Bases da Educação (LDB 9.394/1996) e a Base Nacional Comum Curricular (BNCC). Para tanto, são utilizadas as perspectivas de Michel Foucault e Christian Laval, cujas teorias proporcionam um arcabouço analítico abastado para entender como a pedagogia da aprendizagem e seus fundamentos neoliberais afetam a compreensão do indivíduo e da sociedade. Além disso, adota-se as concepções de Jorge Larrosa, que questiona o papel tradicionalmente atribuído à escola como salvadora do mundo, especialmente em um contexto marcado pela produção de mercadorias e lixo. Com este texto, pretende-se fazer um convite à reflexão sobre os sentidos e as experiências da atividade docente na atualidade. Nesse sentido, é fundamental compreender os desafios enfrentados pelos professores no atual panorama educacional, permeado por políticas neoliberais que enfatizam resultados quantitativos e competição. A análise crítica dessas tendências é essencial para repensar e reconfigurar práticas pedagógicas que considerem a formação integral dos estudantes, estimulando sua autonomia, criatividade e pensamento crítico.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0210.027

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 head0.085
GPT teacher head0.452
Teacher spread0.367 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

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