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Record W2551134565

El dialoguismo femenino en el Diálogo entre el Viejo, el Amor y la Mujer hermosa

2015· article· es· W2551134565 on OpenAlexaff
Marjorie Ratcliffe

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Literature and Culture Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsArtFifteenthBiographyHumanitiesLiteratureClassics
DOInot available

Abstract

fetched live from OpenAlex

Feminine dialogism in Dialogo entre el Viejo, el Amor y la Mujer hermosaThis article begins a literary dialogue between two specific works written at the end of the fifteenth century: Dialogo entre el Amor y un viejo by Rodrigo Cota and the anonymous Dialogo entre el Viejo, el Amor y la Mujer hermosa which lead to Celestina. Miola, who discovered, published and studied the anonymous Dialogo in 1886, was impressed by the depth of characterization. Later critics have compared these texts to Celestina in search of sources or biographical clues for Rojas’ text. In Celestina many lives crisscross whereas in Cota’s Dialogo, much like the medieval scholarly and clerical debates all written by men, there are but two voices. In the anonymous Dialogo, the third voice is that of the beautiful woman who, in her own voice and as a harbinger of literary change, speaks as an independent modern creation. Future work aims to determine how these women speak, what they say and whether their ideas differ from those expressed by male figures.

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)0.004
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 score0.015
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.025
Scholarly communication0.0080.004
Open science0.0000.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.264
Teacher spread0.244 · 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
Published2015
Admission routes1
Has abstractyes

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