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Record W6884829165 · doi:10.13125/rhesis/6299

La crítica a la astrología en la literatura de ficción de finales del siglo XVII

2024· article· es· W6884829165 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2024
Typearticle
Languagees
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Order (exchange)Limiting

Abstract

fetched live from OpenAlex

El artículo se propone analizar el tratamiento reservado a la astrología en la producción novelística de finales del siglo XVII. En particular, se analizan los Engaños de mujeres y desengaños de los hombres (1698) de Miguel de Montreal, poniéndolos en relación con la coeva prosa de ideas, especialmente con El hombre práctico (1686) de Francisco Gutiérrez de los Ríos, conde de Fernán Núñez y con el discurso Astrología judiciaria y almanaques del primer tomo del Teatro crítico universal (1726) de Benito Jerónimo Feijoo. La finalidad es ilustrar cómo los argumentos adoptados por Montreal – incluso aquellos que tienen una procedencia clásica – se emplean en función de la nueva orientación epistemológica que se afirma entre finales del siglo XVII y principios del XVIII, en la que el valor de la experiencia y de los datos empíricos y verificables juegan un papel central.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.064
Threshold uncertainty score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0090.028
Scholarly communication0.0100.004
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.110
GPT teacher head0.490
Teacher spread0.380 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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