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Record W2902505445 · doi:10.14507/epaa.26.3606

Corporações privadas na educação superior brasileira: Implicações das novas práticas organizacionais

2018· article· pt· W2902505445 on OpenAlexaff
Aline Veiga dos Santos, Ranilce Guimarães-Iosif, Vera Lúcia Jacob Chaves

Bibliographic record

VenueEducation Policy Analysis Archives · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Public Policy
Canadian institutionsUniversity of Alberta
FundersUniversidade Federal do ParáUniversidade Federal de Minas GeraisConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Este artigo objetivou analisar as implicações da adoção do modelo de governança corporativa nos grupos educacionais brasileiros com ações na bolsa de valores e como essa forma de gestão afeta o trabalho docente. Trata-se de uma pesquisa documental, que adotou uma perspectiva crítica. Os dados foram tratados à luz da análise de conteúdo. Constatou-se que a governança corporativa apresenta uma conjuntura complexa, emergindo na arena educacional com o intuito de auxiliar os proprietários de instituições de ensino superior privadas na acumulação do capital. A inserção de novas práticas organizacionais visa aumentar as margens de lucro com menos investimento e em um curto período. No entanto, esse caminho para o crescimento tem implicações diretas na vida profissional e pessoal do docente, uma vez que está vinculado à superexploração do trabalhador, à redução salarial e ao número crescente de demissões ao término de cada semestre letivo. Dessa feita, os docentes passaram a atuar em um ambiente de instabilidade e opressão.

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)0.003
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score0.844

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.008
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.043
GPT teacher head0.413
Teacher spread0.370 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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