O programa de fomento à implementação de escolas de ensino médio em tempo integral na rede estadual de ensino do Rio Grande do Norte
Bibliographic record
Abstract
The present research focuses in the Full-Time High School Funding Program, implemented by the Decree nº 1.145/2026, in the context of the High School Reform (Law 13.415, from February 15th, 2017). This study aims to analyze the configuration of the Funding Program destined to the Full-Time High Schools (EMTI) and its implications in the schoolsystem of the state of Rio Grande do Norte. The nature of this research is qualitative, bibliographical, documental and exploratory, fundamented under the perspective of the historical-dialectical materialism. The theoretical foundation is based on authors such as Silva (2018), Ferretti (2018), Ferretti and Silva (2017), Dourado (2019, 2010), Ramos and Frigotto (2016), Frigotto (2011, 2015), Silva and Scheibe (2017), Krawczyk and Ferretti (2017), Peroni and Caetano (2015, 2016), Kuenzer (2002, 2008, 2017), Araújo (2019), Laval (2019), Freitas (2012), among others. The documental aspect of the research was developed from sources such as Laws, Decrees, Resolutions and Handbooks related to the Funding Program. The results of the research reveal that the Funding Program does not only encompasses the financing and the criteria for the transfer of resources by the National Fund of Educational Development (FNDE). Its scope includes, mainly, the pedagogical approach to be implemented within the Program, which is grounded on a competence-based curriculum, aligned to a globally structured educational agenda, with accountability-based practices anchored to performance metrics, which are intertwined to managerialism in education. The investigation pointed to the publicprivate partnerships as an important axis of this program, which favors the educational Market. Among these partnerships are Instituto de Corresponsabilidade pela Educação (ICE) and Instituto Sonho Grande (ISG) which pose asthe main partners, with a leading role in the process of implementation of the EMTI in the state of Rio Grande do Norte, influencing educational practices and teacher training processes. Regarding financial aspects, the state of Rio Grande do Norte received, in the 2017-2022 timeframe, a total of R$ 79.768.839,33 from FNDE. Of this amount, 47,19% was invested in funding and 14.5% in capital for maintenance and educational development. The research identified a permanent need of extra resources for funding of the Program, which implies continuous investment in the Full-Time High Schools as opposed to only 10-year periods.
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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 | 0.010 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".