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Record W157508213

Los títulos como mecanismo de control discursivo en el universo literario

2011· article· es· W157508213 on OpenAlexaboutno aff
María Laura Spoturno

Bibliographic record

VenueEspéculo: Revista de Estudios Literarios · 2011
Typearticle
Languagees
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Este articulo se propone ahondar en la construccion de la paratextualidad en tanto aspecto de la obra literaria que le permite al Autor ejercer control sobre su discurso. A proposito del paratexto, Genette ([1987] 2001) ha senalado que mas que como un limite o una frontera cerrada, el paratexto debe pensarse como un umbral, que permite al lector la posibilidad de ingresar o de retroceder en el texto. Asi, el interes de este trabajo es indagar acerca del estatuto y funcion discursivo-enunciativa de los titulos de obra. Para ello tomaremos como ejemplo el caso de dos novelas que pertenecen al mundo de las minorias culturales: Shulamis. Stories from a Montreal Childhood de la escritora canadiense de origen judio Shulamis Yelin (1913-2002) y The House on Mango Street de la escritora chicana Sandra Cisneros (n. 1954). En tanto zona de frontera, el espacio que construye el paratexto invita al lector a introducirse en una obra pero tambien a transitar los lugares culturales que se instituyen en los bordes del texto. Segun nuestra hipotesis, tanto en la obra de Cisneros como en la de Yelin, los elementos del paratexto -mas especificamente, los titulos, las dedicatorias, los epigrafes, las notas- cumplen con dos cometidos principales. Por un lado, el paratexto instaura puntos de heterogeneidad que contribuyen al interlinguismo constitutivo del discurso de estas escritoras. Por el otro, en el seno del paratexto se definen una serie de instrucciones de lectura que tienen por objeto ejercer control sobre la interpretacion del discurso

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)0.008
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 score0.018
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0090.023
Scholarly communication0.0180.013
Open science0.0020.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0160.002

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 head0.019
GPT teacher head0.261
Teacher spread0.243 · 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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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