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Record W2038675314 · doi:10.3828/bhs.2011.12

Una zarzuela de Venezuela: el <i>Alma llanera</i> y la construcción de un mito nacional

2011· article· es· W2038675314 on OpenAlexaff
Victor Rivas

Bibliographic record

VenueBulletin of Hispanic Studies · 2011
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Literature and Culture Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

La identidad representativa de Venezuela se ha codificado en el mito del llanero y su canto celebratorio el Alma llanera. Considerado el segundo himno de la nacion, el Alma Llanera debe sus origenes al llamado genero chico de la zarzuela espanola. Tras un breve estudio comparativo entre la zarzuela espanola y la obra venezolana, resaltan los elementos del genero que han contribuido a la popularidad y consecuente asimilacion de la pieza homonima en el imaginario popular de Venezuela. Uno de los aspectos que mejor contrasta al caso venezolano del espanol es la expresion tragica y farsica de un final inesperado que rompe con las expectativas del genero chico, vislumbrandose asi una sutil critica de la sociedad venezolana de la epoca. Aunque hoy uno de los mas preciados simbolos patrios de Venezuela, el canto zarzuelero del Alma llanera es apenas un elemento de un complicado artifice que problematiza el origen del mito llanero.The representative identity of Venezuela is codified within the myth of the llanero...

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.023
GPT teacher head0.253
Teacher spread0.230 · 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 designTheoretical or conceptual
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
Published2011
Admission routes1
Has abstractyes

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