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Record W3041293432 · doi:10.18192/rceh.v43i2.4660

Disturbing Innocence: Defamiliarizing Narco Violence through Child Protagonists in Fiesta en la madriguera and Prayers for the Stolen

2020· article· en· W3041293432 on OpenAlexvenueno aff
Joseph Patteson

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVisionInnocenceGirlSovereigntyLeverage (statistics)ArtHumanitiesSociologyLawPolitical sciencePsychologyPoliticsAnthropologyComputer science

Abstract

fetched live from OpenAlex

This article uses a Benjaminian framework to show how the two novels studied, Fiesta en la madriguera, by Juan Pablo Villalobos, and Prayers for the Stolen, by Jennifer Clement, leverage children’s unorthodox ways of perceiving the world in order to upend habitual ways of thinking about drugs and drug violence. Tochtli, a capo’s son, and Ladydi, a poor girl from Guerrero, create disorienting visions that constitute one mode of intoxication that exposes another: the exaltation of the sovereign and autonomous self that accompanies apparently disparate activities like shopping, cocaine abuse, and drug trafficking.

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)0.003
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.278
Teacher spread0.264 · 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.

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueRevista Canadiense de Estudios HispánicosSame topicLatin American Literature StudiesFrench-language works237,207