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Record W1846679029

José Sánchez Labrador (1717-1798) y la Geología del Paraguay Natural

2008· article· es· W1846679029 on OpenAlexaboutno aff
Eduardo G. Ottone

Bibliographic record

VenueConicet · 2008
Typearticle
Languagees
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyNatural (archaeology)Archaeology
DOInot available

Abstract

fetched live from OpenAlex

Sánchez Labrador fue un autor prolífico de textos de doctrina católica, arte, idioma guaraní, antropología, agricultura y ciencias naturales. Un título destacado en este último sujeto es su Paraguay Natural (manuscrito inédito, Rávena, 1771). La primera parte del Paraguay Natural está dividida en tres libros. El libro primero mayormente se ocupa de minerales, aunque también incluye descripciones de rocas y fósiles. En el libro segundo, que trata principalmente sobre los ríos y las propiedades del agua, Sánchez Labrador refiere que los ríos Paraná y Uruguay eran capaces de petrificar madera y hueso, comparando además los grandes huesos de la desembocadura del Carcarañá con restos de elefantes o ballenas. El libro tercero trata sobre meteorología, terremotos y volcanes. La primera parte del Paraguay Natural constituye entonces un punto de referencia ineludible para el conocimiento geológico de la Cuenca del Plata.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.200
Threshold uncertainty score0.397

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 studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.020
GPT teacher head0.275
Teacher spread0.255 · 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 designNot applicable
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

Citations1
Published2008
Admission routes1
Has abstractyes

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