PESQUISA SOBRE E NAS FRONTEIRAS : ENTREVISTA COM O DR. CRISTHIAN TEÓFILO DA SILVA
Bibliographic record
Abstract
Antropólogo na Secretaria de Articulação e Promoção dos Direitos Indígenas (SEART), do Ministério dos Povos Indígenas (MPI), e Professor Associado 4 do Departamento de Estudos Latino-Americanos (ELA) do Instituto de Ciências Sociais (ICS) da Universidade de Brasília (UnB). Bolsista de Produtividade em Pesquisa do CNPq – Nível 2. Sócio efetivo da Associação Brasileira de Antropologia (ABA) e da Sociedade Canadense de Antropologia (CASCA). Doutor e Mestre em Antropologia e Bacharel em Ciências Sociais com Habilitação em Antropologia pela UnB. Realizou pós-doutorados no Centro Interuniversitário de Estudos e Pesquisas Indígenas (CIÉRA) da Université Laval, onde é Pesquisador Associado, e no Centro de Pesquisa e Pós-Graduação sobre as Américas (CEPPAC) da UnB. Integra como pesquisador o Programa Identidade Cultural e Direitos Humanos do Instituto de Investigação em Direito da Universidad Autónoma de Chile (UAC), atuando na linha de pesquisa Constitucionalismo em Rede. Fundador e coordenador do Laboratório de Estudos e Pesquisas Colaborativas com Povos Indígenas, Comunidades dos Quilombos e Povos e Comunidades Tradicionais (LAEPI – Grupo de Pesquisa do CNPq).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads 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".