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Record W7015279966

Sobre os “Hijos del Paraguay” e as “Personas naturales inteligentes”: uma análise dos relatos sobre saberes e práticas tradicionais indígenas no Paraguay Natural Ilustrado, de José Sánchez Labrador S. J. (1771-1776)

2017· article· pt· W7015279966 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2017
Typearticle
Languagept
FieldSocial Sciences
TopicIndigenous Studies in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsNatural (archaeology)Affect (linguistics)Interpretation (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

Neste artigo, analisamos o manuscrito Paraguay Natural Ilustrado, escrito pelo padre jesuíta José Sánchez Labrador entre 1771-1776, durante seu exílio em Ravenna, na Itália. Esta obra, cujos originais se encontram no Archivo Romanum Societatis Iesu, se subdivide em quatro tomos -Terra, Água e Ar; Botânica; Mamíferos, Aves, Peixes; Anfíbios, Répteis e Insetos- e não foi até hoje integralmente publicada. Nela, além das percepções sobre a natureza americana e sobre sua utilidade e propriedades terapêuticas, encontramos menções aos “Hijos del Paraguay” e às “Personas naturales inteligentes”, bem como informações relativas aos saberes e às práticas curativas adotadas pelas populações nativas da vasta região da Província Jesuítica do Paraguai. Interessanos, especialmente, destacar e analisar as descrições que o missionário Sánchez Labrador fez tanto dos indígenas, quanto de seus conhecimentos tradicionais e práticas terapêuticas nos quatro tomos da obra.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.356

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.006
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.173
GPT teacher head0.535
Teacher spread0.362 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2017
Admission routes1
Has abstractyes

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