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Record W4405847782 · doi:10.5380/jpe.v18i1.95912

NEOLIBERALISMO E POLÍTICA DE EDUCAÇÃO SUPERIOR: UMA ANÁLISE DO ARTIGO 170 EM SANTA CATARINA

2024· article· pt· W4405847782 on OpenAlexaboutno aff
Daniela Mader, Rafael Rodrigo Mueller

Bibliographic record

VenueJornal de Políticas Educacionais · 2024
Typearticle
Languagept
FieldSocial Sciences
TopicSocial and Political Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceNeoliberalism (international relations)Welfare economicsSociologyEconomicsPolitical economy

Abstract

fetched live from OpenAlex

O presente artigo tem como objetivo analisar a criação da política de recurso financeiro concedido em forma de bolsa de estudos na educação superior instituída pelo artigo 170 da Constituição do Estado de Santa Catarina, sob o aspecto do desenvolvimento da racionalidade neoliberal, por meio dos processos legislativos que lhe deram origem. O estudo relata tais processos, aborda as características e a atuação lógica normativa da racionalidade neoliberal pela perspectiva de Pierre Dardot e Christian Laval (2016) e, por fim, avalia a prática neoliberal nos processos legislativos. Considerando a natureza controversa do campo educacional, se questiona a atuação do Estado na contribuição da mercantilização da educação. O estudo possui abordagem qualitativa e fins descritivos, uma vez que apresenta sistematicamente os processos legislativos da política pública. A razão neoliberal foi reconhecida na política do artigo 170 por meio da intervenção do Estado que estimula a competitividade econômica e propicia a mercantilização da educação.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.570
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.004

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 head0.035
GPT teacher head0.372
Teacher spread0.337 · 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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