Bibliographic record
Abstract
This paper aims to analyze the changes in the frontier between public and private in the context of the advancing conservative policies and managerialism, linked to the neoliberal perspective, as part of the force correlation movement that occurs in society through societal projects and of education in dispute. Thus, we seek to deepen the understanding about the relationships between neoliberalism and neoconservatism from authors such as Harvey (2008), Puello-Socarrás (2008), Moll Neto (2010) and Laval and Dardot (2017), and investigate the assumptions that support their societal and educational projects, in which the managerial logic is presented as instrumental to a project centered on the dispute for the content of education with a perspective of class restoration. We also analyze the relationships that are established between subjects entailed to conservative and neoliberal ideals under a managerial perspective inspired by the private market logic that is materialized in the Brazilian reality. Keywords: Public-private relationship. Conservatism. Managerialism.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
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".