Gênese das milÃcias de pardos e pretos na América portuguesa: Pernambuco e Minas Gerais, séculos XVII e XVIII
Bibliographic record
Abstract
Analiso neste artigo a sociogênese das milÃcias de pardos e pretos em duas capitanias da América portuguesa: Pernambuco e Minas Gerais. Após propor comparações entre o recrutamento de gente nativa e de afrodescendentes, destaco o papel do escravismo e do desenraizamento social de africanos, bem como procuro examinar campos de tensão envolvendo pardos, pretos, autoridades coloniais e metropolitanas que culminam, com maiores ou menores percalços, com o processo de institucionalização das milÃcias negras. Finalmente, observo que as capitanias de Minas Gerais e Pernambuco são vistas como configurações sociais especÃficas e dotadas de autonomia significativa, mas interdependentes e conectadas, cujas histórias e instituições se viam frequentemente refletidas em documentos produzidos por milicianos e burocratas vinculados à s suas governações.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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; 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".