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Record W2279271621 · doi:10.18192/rceh.v38i3.1690

La Barbarie refinada: The Crisis of European Modernity in Gómez Carrillo’s Chronicles of the First World War

2014· article· es· W2279271621 on OpenAlexaffvenue
Brais D. Outes-León

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2014
Typearticle
Languagees
FieldSocial Sciences
TopicHistory and International Relations
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Este ensayo analiza la crítica a la Modernidad europea desarrollada por Enrique Gómez Carrillo en sus crónicas de la Primera Guerra Mundial – uno de los conjuntos textuales más notables de la recepción, mayormente ignorada por la crítica, de este conflicto armado en América Latina. Aunque no libre de tonos propagandísticos a favor de los Aliados, las crónicas de Gómez Carrillo denuncian sin ambigüedades la brutalidad de la Gran Guerra y la involución del continente europeo hacia lo que el autor define como “la barbarie refinada” – una fusión de las más avanzadas tecnologías militares con la violencia más extrema. Gómez Carrillo documenta obsesivamente el impacto de este nuevo fenómeno en los paisajes humanos y naturales del continente, denunciando el colapso del prestigio cultural y moral de Europa y el efecto deshumanizante de la guerra tecnológica moderna sobre los soldados. Como resultado de esta crítica sin cuartel a la civilización europea y a las narrativas eurocéntricas del Progreso predominantes hasta ese momento, las crónicas de Gómez Carrillo sientan las bases para el surgimiento durante los años 1920 de una identidad latinoamericana que, con redoblada seguridad en sí misma, desarrolla nuevos modelos para una Modernidad autóctona en América Latina.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.015
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.250
Teacher spread0.234 · 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
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

Citations2
Published2014
Admission routes2
Has abstractyes

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