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Record W96648946

Reading Ambivalence: Order, Progress and Female Transgression in "La insólita historia de la Santa de Cabora" by Brianda Domecq

2005· article· es· W96648946 on OpenAlexvenueno aff
Nuala Finnegan

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2005
Typearticle
Languagees
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtOrder (exchange)Philosophy
DOInot available

Abstract

fetched live from OpenAlex

Este art?culo analiza la novela mexicana La ins?lita historia de la Santa de Cabora (1990J de Brianda Domecq. La novela narra la historia de la curandera Teresa Urrea (la Santa de Cabora), acusada de actividades subversivas y perse guida por el r?gimen de Porfirio D?az a fines del siglo XIX. Las interpretaciones cr?ticas alrededor del personaje de Teresa lo destacan como s?mbolo de resisten cia, personaje progresista, contribuci?n positiva a la tradici?n literaria femeni na en M?xico. Sin embargo, esta noci?n de ejemplaridad, entendida en el texto como transgresi?n femenina, debe cuestionarse. En este art?culo procuro demos trar que la supuesta transgresi?n de Teresa se desmantela por completo a trav?s de otros discursos textuales que se examinan aqu?: la representaci?n de Porfirio D?az como modelo de conducta para Teresa, el establecimiento de jerarqu?as de clase representado a trav?s de Teresa y el car?cter apol?tico de su curanderismo. Estos discursos ayudan a crear una visi?n muy distinta del personaje, una visi?n que socava de manera radical su posici?n como s?mbolo de la transgresi?n. Se analiza tambi?n la tensi?n producida por estas interpretaciones conflictivas dentro del contexto de la cr?tica literaria feminista actual.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.294
Teacher spread0.285 · 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 teacher head, not a consensus.

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

Citations1
Published2005
Admission routes1
Has abstractyes

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