A medicina da conversão: apropriação e circulação de saberes e práticas de cura (Província Jesuítica do Paraguay, século XVIII)
Bibliographic record
Abstract
In this article, we consider the significant process of cultural exchange that characterized \nthe relationship between indigenous peoples and Jesuit missionaries in the reductions founded by religious men of the Company of Jesus in the Província Jesuítica of Paraguay. \nThis is done through the analysis of libros de medicina produced in the first two decades of the 18th century, such as the ones attributed to Brothers Pedro de Montenegro and Marcos \nVilloda, and of works of Natural History, such as Paraguay Natural Ilustrado, by priest \nJosé Sánchez Labrador, written between 1771 and 1776. We highlight and discuss the \ntherapeutic procedures adopted by the missionaries as well as the intellectual production \nresulting from their effort to ensure the healing of the souls and infirm bodies, as well as \nfrom the appropriation and circulation of knowledge and healing practices that they \nsystematized. This analysis also considers the role played by indigenous informants, nurses and scribes as well as by religious men of the Company of Jesus in the conformation of a scientific culturein Latin America, in the 18th century, as evidenced in the Receituários \nand Matérias Médicas, that circulated among colleges and reductions of the Order, and \nin the works of Natural History that were written during exile, based on the experiences shared \nin the mission lands in America.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".