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Record W4389482357 · doi:10.59530/anthann.2023.70.13

labrador de José de Viera y Clavijo, una traducción inédita de un pasaje de las Geórgicas de Virgilio

2023· article· es· W4389482357 on OpenAlexaboutno aff
Alejandro Martín Bolaños

Bibliographic record

VenueAnthologica Annua · 2023
Typearticle
Languagees
FieldArts and Humanities
TopicComparative Literary Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophyCartographyGeography

Abstract

fetched live from OpenAlex

Los objetivos del presente trabajo son editar el texto del sacerdote e ilustrado canario José de Viera y Clavijo titulado El labrador y contextualizarlo en la producción literaria del autor mediante un análisis comparativo de este. Se trata, concretamente, de un manuscrito autógrafo que contiene una imitación o traducción de un pasaje del libro II de las Geórgicas virgilianas y que hasta ahora había permanecido inédito en las baldas de la Biblioteca Municipal de Santa Cruz de Tenerife, como tantas de sus obras, que se están editando en la actualidad. Con su edición, pretendemos dar a conocer una obra notable del corpus de las traducciones o las imitaciones del polígrafo, que representa, sin duda, uno de los mayores de su producción. El análisis nos ha permitido concluir que se trata de un caso muy particular, pues la mayoría de las obras que bien traduce, bien imita, son de origen francés. Aunque Viera tuviera un gran dominio de las lenguas clásicas, sus traducciones directas del latín no llegaron a la decena y esta imitación bilingüe, constituida por más de ochenta versos, es, con diferencia, las más larga que se le conoce.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.005
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.002

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 head0.029
GPT teacher head0.311
Teacher spread0.282 · 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
Published2023
Admission routes1
Has abstractyes

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