Educação das relações étnico-raciais no Material Rioeduca de Língua Portuguesa do 8º ano para o 1º semestre de 2023
Bibliographic record
Abstract
Este artigo pretende investigar o modo como o Material Rioeduca de Língua Portuguesa do 8º ano para o 1º semestre de 2023 se compromete com a Lei nº 10.639/2003 e com as Diretrizes Curriculares para a Educação das Relações Étnico-Raciais e para o Ensino de História e Cultura Afro-Brasileira e Africana, a partir de atividades propostas com base em dois textos referentes ao escritor guineense Eliseu Banori. A investigação se dá sob a perspectiva de política linguística definida por Rajagopalan (2013), considerando também a concepção de língua/linguagem de Valentin Volóchinov (2019) e a compreensão de como ela atua na educação, pela ótica de Paulo Freire em Política e educação (2022). A análise também parte da obra A Escola não é uma empresa, de Christian Laval (2004), a fim de sinalizar a presença da lógica neoliberal na gestão da educação carioca para elaboração do material didático analisado.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 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; 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".