Rastros da lógica neoliberal na educação pública gaúcha:
Bibliographic record
Abstract
O artigo tem o propósito de discutir de que forma as mídias sociais produzem a relação entre a educação pública gaúcha e as parcerias com o setor privado, bem como rastrear quais são os impactos dessa relação para a área da Educação. Os materiais examinados consistem em reportagens de jornais publicadas entre os anos de 2019 e 2020. As bases teóricas advêm de autores como Dardot e Laval (2016), Masschelein e Simons (2017) e Ball (2014). A análise mostrou que os textos mencionam uma crise financeira no solo gaúcho, evidenciando a necessidade das parcerias do setor público com o privado. Além disso, apontou para um modelo empresarial assumido como guia de ação do Governo do Estado, colaborando com a expansão da lógica mercadológica. Outra reverberação foi o uso recorrente dos contratos jurídicos na esfera educacional. A investigação conclui que a iniciativa privada precisa do Estado para expandir seus negócios, garantindo sua lucratividade mediante a exploração da esfera pública.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.048 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".