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Record W4404875239 · doi:10.22196/rp.v26i1.8090

A DIMENSÃO DO AUTOCONHECIMENTO EM LIVROS DIDÁTICOS DE PROJETO DE VIDA DO NOVO ENSINO MÉDIO

2024· article· pt· W4404875239 on OpenAlexaboutno aff
Wyllamy Samuel da Costa, Francisco Vieira da Silva

Bibliographic record

VenueRevista Pedagógica · 2024
Typearticle
Languagept
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

Esse artigo busca analisar como a dimensão do autoconhecimento está presente em materiais didáticos do Projeto de Vida do Novo Ensino Médio (NEM) e como se vincula às estratégias da racionalidade neoliberal. Para isso, discute-se a configuração do Projeto de Vida no interior do NEM e pondera-se a vinculação com o neoliberalismo, a partir de autores como Foucault (2008, 2005), Dardot e Laval (2016) e Han (2017), entre outros. A análise compreende sete coleções didáticas do componente curricular Projeto de Vida, aprovadas pelo Programa nacional do Livro e do Material didático (PNLD), edição 2021, em particular a seção/unidade relacionada à dimensão do autoconhecimento. O estudo caracteriza-se como descritivo-interpretativo de natureza qualitativa. Os resultados apontam que a dimensão do autoconhecimento está alinhada à racionalidade neoliberal, quando notamos a retórica do sujeito ser autônomo e flexível, enfatizado nos discursos sobre protagonismo juvenil. Além disso, essa dimensão preocupa-se em trabalhar as competências sociopsicoemocionais, inserindo o autoconhecimento como uma promessa de preparo do sujeito para o convívio social, escolha de sua profissão, seguido de sua inserção do mercado de trabalho

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)0.004
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.718
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0040.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.003

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 head0.074
GPT teacher head0.423
Teacher spread0.349 · 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
Published2024
Admission routes1
Has abstractyes

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