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Record W2278468357 · doi:10.18192/rceh.v39i1.1677

Poesía Dulce y Corazón Picante. Una lectura del poema ʻʻPicante como el ají izɨrede-jifijɨzoʼʼ de Anastasia Candre Yamakuri

2014· article· es· W2278468357 on OpenAlexaffvenue
Camilo Ayra‐Pardo

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2014
Typearticle
Languagees
FieldSocial Sciences
TopicHistory and Politics in Latin America
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArtPoetryPhilosophyLiterature

Abstract

fetched live from OpenAlex

En este artículo se propone una lectura del poema "Picante como el ají / izɨrede-jifijɨzoi" de Anastasia Candre Yamakuri. Esta poeta es oriunda del Amazonas colombiano y se vincula al fenómeno de la poesía indígena contemporánea. Para analizar e interpretar este poema se recurre, por un lado, tanto a testimonios autobiográficos como a su trabajo como investigadora, y por otro, se acude a trabajos etnográficos sobre la cultura uitoto y a la teoría poscolonial de Walter Mignolo. Se busca reafirmar la literatura como un escenario de diálogo intercultural que permite escuchar y dialogar con las voces que desde el interior del Amazonas construyen su identidad apropiándose de una realidad y un mundo con el que han convivido siempre.

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)0.004
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: Other · Consensus signal: Other
Teacher disagreement score0.051
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0100.001

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 head0.014
GPT teacher head0.291
Teacher spread0.278 · 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
GenreOther

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
Published2014
Admission routes2
Has abstractyes

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