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Record W2285389676 · doi:10.18192/rceh.v39i1.1674

Ixoq tzi’j: palabra y cuerpo en La rueda de Maya Cú Choc

2014· article· es· W2285389676 on OpenAlexaffvenue
Alicia Ivonne Estrada

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2014
Typearticle
Languagees
FieldArts and Humanities
TopicCultural and Social Studies in Latin America
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesMayaArtGeographyArchaeology

Abstract

fetched live from OpenAlex

Durante las últimas dos décadas gran parte de la literatura contemporánea maya de Guatemala se ha centrado temáticamente en la reafirmación de una identidad étnica que hace énfasis en la continuidad de su cultura e historia milenaria. Estas producciones discursivas son instrumentales para el movimiento maya ya que visibilizan sus luchas por los derechos culturales, sociales, económicos y políticos en dicho país. Dentro de estas prácticas literarias, los textos de las mujeres mayas expanden dicho corpus al enfocarse también en las experiencias específicas de sujetos femeninos indígenas y evidenciar su lucha en contra de los legados (neo) colonialistas, los cuales también mantienen un sistema patriarcal racista. Este artículo examina la manera en que los poemas en La rueda de Maya Cú Choc (maya Q’eqchi), representan el cuerpo femenino maya como un texto donde se articula la opresión de estos legados (neo) colonialistas, y también se pronuncian los deseos emocionales, sociales y políticos del sujeto femenino. De esta manera, al incorporar otras subjetividades femeninas que incluyen activamente las experiencias amorosas así como perspectivas socio-­políticas e históricas de las mujeres mayas, el poemario complementa y expande los parámetros de análisis sobre las literaturas indígenas.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.236
Teacher spread0.223 · 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

Citations8
Published2014
Admission routes2
Has abstractyes

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