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Record W2886730713

Autotraducción, autoría y autopromoción en el Siglo de Oro : las posturas de Juan de Mariana y Bernardino Gómez Miedes

2018· article· es· W2886730713 on OpenAlexaff
Rainier Grutman

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2018
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArtPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

El propósito de este artículo es doble: contribuir al estudio histórico de la autotraducción y hacer de introducción al análisis del prólogo de traductor como subgénero del prólogo, espacio paratextual típico del objeto novedoso que era el libro impreso en el Renacimiento. Se analizan los prólogos que escribieron para sus autotraducciones del latín al romance dos autores del Siglo de Oro, Juan de Mariana (1536-1624) y Bernardino Gómez Miedes (1515-1589). Por un lado, se examina la dinámica auto-reflexiva: ¿cómo se relaciona la retórica del autorretrato con la posición discursiva, esto es, la "postura", que adoptaba el autor-traductor en aquella época de mecenazgo? Por otro lado, se observa la dinámica interlingüística. Los prólogos de (auto)traducciones permiten observar cómo (no) se logra reconciliar las diferencias lingüísticas. En la España de los Austrias se estableció una jerarquía entre las lenguas (impresas, escritas o meramente habladas) que condicionaba las relaciones de (auto)traducción, pero también generaba posibilidades de autopromoción individual.

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)0.004
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 score0.021
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.012
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.019
GPT teacher head0.261
Teacher spread0.242 · 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
Published2018
Admission routes1
Has abstractyes

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