O discurso de “gestão de resultados” na 1ª gestão do Partido Novo (2019-2022): “nova” retórica conservadora e o fortalecimento do SIMAVE
Bibliographic record
Abstract
This work explores how the Integrated School Management program (GIDE) and the Minas Gerais Public Education Evaluation and Equity System (SIMAVE) highlight mechanisms of business reform in education, such as standardization, emphasis on results through evaluation and managerialism in public education in Minas Gerais, especially in the 1st administration (2019-2022) of the Novo Party. To this end, a qualitative, bibliographic and documentary research was carried out. The main bibliographic sources used include theoretical contributions from Freitas (2018), Ball (2005), Laval (2004) and Gentili (1998). Official documents released by the government about SIMAVE and GIDE were analyzed. Within the limits of the work, it is possible to identify that the government, under the speech of results management, has implemented educational policies based on public-private partnership, managerial logic and strengthened SIMAVE to meet the political and economic demands of educational quality.
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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 | 0.044 | 0.067 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".