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Record W3201857941 · doi:10.53727/rbhc.v8i2.194

O uso medicinal de pedras bezoares na obra Paraguay Natural Ilustrado, de José Sánchez Labrador, S.J. (1771)

2015· article· pt· W3201857941 on OpenAlexaboutno aff
Eliane Cristina Deckmann Fleck

Bibliographic record

VenueRevista Brasileira de História da Ciência · 2015
Typearticle
Languagept
FieldSocial Sciences
TopicHistory of Colonial Brazil
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanitiesNatural (archaeology)PhilosophyGeographyArchaeology

Abstract

fetched live from OpenAlex

Este artigo apresenta análise do manuscrito Paraguay Natural Ilustrado, obra escrita pelo padre jesuíta José Sánchez Labrador, entre os anos de 1771 e 1776, na qual ele descreve a fauna e a flora das regiões da Província Jesuítica do Paraguai, bem como as práticas terapêuticas adotadas pelos grupos indígenas junto aos quais atuou como missionário. Dentre os saberes e as práticas curativas dos nativos americanos, Labrador destacou o uso medicinal das pedras bezoares, prática terapêutica sobre a qual nos debruçaremos mais detidamente, contemplando tanto as descrições que constam no sétimo Capítulo – De las Piedras Bezares – do primeiro Livro da Terceira Parte da obra, intitulado Animais quadrúpedes, quanto as referências que o jesuíta faz a elas no quinto Capítulo do Terceiro Livro da Segunda Parte do Paraguay Natural Ilustrado.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.052
GPT teacher head0.332
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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