MétaCan
Menu
Back to cohort
Record W4291783397 · doi:10.5380/sclplr.v8i2.87015

“Empreender para alcançar o mundo”?! A reforma do Ensino Médio e o Ensino Técnico Integral

2022· article· pt· W4291783397 on OpenAlexaboutno aff
Maria Clara Pereira dos Santos

Bibliographic record

VenueSociologias Plurais · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhysicsPhilosophy

Abstract

fetched live from OpenAlex

O presente artigo apresenta análises acerca da reforma do Ensino Médio Técnico Integral, em especial a implementação do curso de empreendedorismo, sob o olhar dos discentes de uma escola estadual do Estado do Rio de Janeiro, sendo, portanto, um estudo de caso. Os instrumentos metodológicos utilizados para a coleta de dados foram: a revisão da literatura sobre o assunto, a observação participante do ambiente escolar e as entrevistas semiestruturadas junto aos discentes matriculados. Para a revisão bibliográfica foi levado em consideração a conjuntura política em que a reforma foi aprovada, bem como as demandas do capitalismo e a lógica neoliberal, a partir das contribuições de Foucault (2008) e Harvey (2008). A coleta dos dados possibilitou verificar, o perfil socioeconômico dos jovens, seu ponto de vista sobre o novo modelo implementado e as perspectivas futuras com a conclusão do Ensino Médio. Constatou-se as influências da internalização do neoliberalismo na formação dos discentes com base nos estudos de Dardot e Laval (2016). Assim, este estudo se insere no campo da Sociologia da Educação e visa contribuir para uma reflexão sobre os desafios do Ensino Médio, no que se refere à sua intencionalidade, se tecnicista ou propedêutica, no contexto do mundo do trabalho e as dominações de classe.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0050.002
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0300.001

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 head0.151
GPT teacher head0.411
Teacher spread0.259 · 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 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueSociologias PluraisSame topicEducation Pedagogy and PracticesFrench-language works237,207