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Record W2559199331 · doi:10.18192/rceh.v39i3.1625

Scenes of Language Violence in Yolanda Oreamuno’s La ruta de su evasión

2015· article· es· W2559199331 on OpenAlexaffvenue
Mozelle Foreman

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2015
Typearticle
Languagees
FieldArts and Humanities
TopicCultural and Social Studies in Latin America
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La novela La ruta de su evasión (1948), de la autora costarricense Yolanda Oreamuno, representa prácticas públicas del lenguaje que constituyen técnicas de un protagonista masculino, Gabriel, para exponerse a sí mismo en un espacio público. Este artículo explora estas prácticas en el contexto de la novela como totalidad y en dos escenas en donde se representa a Gabriel en situaciones de confrontación, primero con la autoridad paternalista encarnada por su padre, Don Vasco, y luego con la sexualidad femenina encarnada por su colega de la escuela, Elena Viales. El artículo identifica dos figuras del lenguaje que están implicadas en estas escenas: la subvocalización, definida en los estudios del alfabetismo, y el choteo, definido previamente en la obra de Oreamuno. Estas figuras contribuyen al fracaso del uso del lenguaje público del joven sujeto masculino. El artículo también describe el escenario político-lingüístico costarricense en el que se escribe lanovela. Para ello, recurre a descripciones que Oreamuno aporta en su escritura crítica, publicadas en la revista Repertorio Americano entre los años 1936 y 1948, y a las repuestas de sus contemporáneos. Estas delimitan y evidencian un escenario represivo en el que la censura directa es sustituida por una tolerancia verbal esterilizadora

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0210.011
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.265
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 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

Citations0
Published2015
Admission routes2
Has abstractyes

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