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Record W2200955756 · doi:10.18192/rceh.v39i1.1670

Literary Contraband: Indigenous Insurgency and the Spatial Politics of Resistance

2014· article· es· W2200955756 on OpenAlexaffvenue
Hannah Burdette

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
KeywordsHumanitiesPoliticsArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

El presente artículo sostiene que, más que una instancia de asimilación o adaptación cultural, la (re)emergencia de la literatura indígena en las últimas décadas representa una irrupción o in-surgencia dentro de espacios normalmente, y hasta recientemente, limitados a blancos, mestizos y Occidente. Al conectar estas intervenciones en la ciudad letrada con prácticas de contrabandeo en sociedades fronterizas y rutas pre­‐hispánicas de comercio, examino lo que denomino contrabando literario en la poesía de Miguel Ángel López Hernández (Colombia/Venezuela) y en la novela Almanac of the Dead de Leslie Marmon Silko (Estados Unidos). Argumento que conceptualizar la nueva literatura amerindia en estos términos puede contribuir a ilustrar la interacción entre la poética y la política en proyectos contemporáneos de revitalización cultural. Sin embargo, más allá de celebrar la “dichosa llegada” de la literatura amerindia, sugiero que esta incipiente reconfiguración de la ciudad letrada demanda la continua elaboración de acercamientos críticos descolonizantes que atiendan a las dinámicas de poder que marcan la producción y el consumo de la literatura indígena.

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)0.003
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 score0.972
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0140.040
Scholarly communication0.0100.004
Open science0.0010.005
Research integrity0.0020.002
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 head0.010
GPT teacher head0.217
Teacher spread0.207 · 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

Citations4
Published2014
Admission routes2
Has abstractyes

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