Bibliographic record
Abstract
Este trabalho baseia-se numa fonte quantitativa pouco explorada, a “Convencao dos Dizimos”. Esta documentacao contem caracteristicas demograficas das populacoes que habitaram o vale do baixo Kwanza em meados da decada de 1790 e foi produzida pouco antes dos recenseamentos nominais e sumarios comecarem a serem feitos nas areas que compunham essa regiao. Compilado entre 1792 e 1796 pelo Capitao Francisco Antonio Pita Bezerra de Alpoim e Castro, esse documento representa um censo regional cuja informacao era para funcionarios coloniais melhorar a extracao de impostos entre as populacoes de Ambaca, Pundo Andongo, Cambambe, Massangano, Muxima e Calumbo. Esses territorios formavam um corredor atraves do qual anualmente passavam milhares de cativos destinados em grande parte para as Americas, especialmente o Brasil. Oferecendo o mais antigo perfil do tamanho, genero, grupos etarios e distribuicao geografica das populacoes que habitavam os territorios supracitados, a “Convencao dos Dizimos” nao so permite obter uma melhor compreensao da producao de dados demograficos na Angola colonial, como tambem possibilita um refinamento, se nao a correcao, de certas nocoes relativas ao impacto do comercio de escravos no Atlântico.Palavras-Chaves: historia demografica, Angola, recenseamentos
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".