Bibliographic record
Abstract
Educação e Cultura Contemporânea Revista Semestral do Programa de Pós-Graduação em Educação da Universidade Estácio de Sá Editora/Editor: Monica Rabello de Castro Secretária/Secretary: Ingrid Martins da Cruz Conselho Editorial / Editorial Advisory Board Alda Alves Mazzotti - Estácio-RJ Antonio Teodoro - U. Lusófona-Portugal Bernadete Gatti - FCC-SP Bernard Charlot - U.de Paris VIII-França Bethânia Leite Ramalho - UFRN Célia Frazão Linhares - UFF Clarilza Prado de Souza - PUC-SP Clermont Gauthier - U. de Laval–Canadá Denise Jodelet - EHESS-França Emilia da Trindade Prestes - UFPa Gaudêncio Frigotto - UERJ Janete Bolite Frant - PUC-SP Javier Uribe - U. Autónoma de México Josefa Cabello - U. Complutense de Madri José Manoel Moran - USP Lauro Carlos Wittman - FURB Marcelo Borba - UNESP/Rio Claro Marco Silva – Estácio de Sá Margot Campos Madeira - Estácio-RJ Maria de Lourdes Rangel Tura - UERJ Maria Tereza Carneiro - UFPr Monica Rabello de Castro - Estácio-RJ Nadir Zago - UFSc Neise Deluiz - Estácio-RJ Nelson Pretto - UFBa Roberto Aparici - UNED-Espanha Rosana Glat - UERJ Tarso Mazzotti - UFRJ Vera Maria Nigro de Souza Placco - PUC-SP Vicente Madeira - UCP Bibliotecária/Librarian: Erica Resende CRB-7 51 Capa: criação e layout/Art Design: Cláudio Fernandes (Clan Design) Versão para o inglês/Language Editor: Glaucia Vieira Universidade Estácio de Sá Reitor: Gilberto de Oliveira Castro Vice-Reitor de Pós-Graduação e Pesquisa: Theophilo de Azeredo Santos Programa de Pós-Graduação em Educação Coordenadora: Alda Judith Alves-Mazzotti
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.020 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.351 | 0.245 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".