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Record W2268532837 · doi:10.18192/rceh.v39i2.1628

“Ir romera y volver ramera”: Las pícaras romeras/rameras y el discurso del viaje en el Libro de entretenimiento de la pícara Justina

2015· article· es· W2268532837 on OpenAlexaffvenue
Enriqueta Zafra

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2015
Typearticle
Languagees
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Este artículo explorará el discurso en torno al viaje y a la peregrinación de la mujer tal como se desarrolla en La pícara Justina, principalmente en el libro segundo titulado “La pícara romera”, pero también hará referencia a otras pícaras romeras y a la tradición de la peregrinación desde el Codex Calixtinus. En concreto se repasarán las romerías de Justina en relación a otros textos picarescos y hagiográficos que tratan sobre la peregrinación y el viaje de la mujer. El viaje de antiperegrinación de la pícara romera/ramera con su incansable paso y deslenguado discurso pondrá de manifiesto la amenaza que supone la mujer “suelta” para el orden establecido. Como se comprobará, las romeras/rameras/pecadoras/pícaras ofrecen al autor diversas formas con las que expresar su preocupación por la transgresión femenina, aportando soluciones que, aunque en principio puedan parecer dispares, son, no obstante, bastante similares.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.010
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.271
Teacher spread0.250 · 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 designQualitative
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
Published2015
Admission routes2
Has abstractyes

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