O PNAES NO CONTEXTO DAS POLÍTICAS NEOLIBERAIS: ANÁLISE DAS POLÍTICAS DE ACESSO E PERMANÊNCIA NO ENSINO SUPERIOR PARA AS CLASSES QUE DEPENDEM DO TRABALHO PARA VIVER
Bibliographic record
Abstract
The present work starts from the recognition that the current model of student assistance policy is a neoliberal State policy, elucidating the characteristics of the implementation of this policy from the contradictory exercise of democratizing public access to the university within the scope of a neoliberal political economic agenda. In this way, it seeks to analyze the characterization of Brazilian educational policies, in the context of the neoliberal political-economic agenda, aimed at access and permanence of students from classes that live from work to higher education in Brazil. For this, the research is based on a critical perspective, which gives power to the reading of the object in a way that is positioned in the concrete, real, material, social and historical context in which it takes place, receiving the help of the Document Analysis technique. It receives the theoretical contributions of authors such as Antunes, Kosik, Harvey, Giareta, Brettas, Kowalski, Dardot and Laval, Sguissardi, among others, who offered their theoretical contributions for the unveiling of all the complex contours of the researched theme. Thus, it is convenient to indicate that the PNAES appears as a program produced within the scope of the Brazilian neoliberal state, consequently, deeply marked by the disciplining required of public policies in the context of this political-economic agenda, which for socially subaltern groups, presents itself under the spectrum of profound contradictions. Keywords: Neoliberal state. Educational policies. PNAES.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".