O "Ciência sem Fronteiras" pelo olhar da comunidade acadêmica
Bibliographic record
Abstract
Ata da defesa com as respectivas assinaturas dos membros encontra-se no SIGA -Sistema de Gestão Acadêmica.Dedico este trabalho à UNIFAL-MG e à UNIFEI.Mas também a meus pais: gosto de imaginar que minhas conquistas são também conquistas deles.AGRADECIMENTOS Sou grato a todas as pessoas que tornaram possível este trabalho, mas, acima de tudo, a meus pais, por terem mostrado a importância dos estudos e por sempre incentivarem todos os meus projetos.Agradeço também: Às minhas irmãs pelo incentivo, companheirismo e amizade.À professora e mentora Simone Pallone de Figueiredo, minha orientadora neste percurso, pela aprendizagem que me proporcionou.Sua experiência e a disponibilidade de sempre tornaram esta jornada mais leve.Aos professores Janaina Oliveira Pamplona da Costa e Marcelo Knobel, que contribuíram muito com o direcionamento e amadurecimento deste trabalho.À pesquisadora e amiga Amanda Rezende Costa Xavier, que me acompanhou desde a concepção do projeto de pesquisa até a finalização da dissertação, instigando reflexões importantes e contribuindo com meu crescimento como pesquisador.
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| 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".