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Record W2530360706 · doi:10.5206/entrehojas.v6i1.6165

Cruzando Fronteras Genéricas: La Serie Carvalho de Manuel Vázquez Montalbán

2016· article· es· W2530360706 on OpenAlexvenueno aff
Swati Babbar

Bibliographic record

VenueEntrehojas Revista de Estudios Hispánicos · 2016
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Culture and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Resumen Este trabajo trata de un estudio de las novelas de la Serie Carvalho, del escritor español Manuel Vázquez Montalbán, publicadas entre los finales de la dictadura de Franco y la llegada de la democracia en España. Manuel Vázquez Montalbán, un prolífico escritor que exploró con éxito diversas formas de escritura: poesía, teatro, novela, ensayo, periodismo, es también considerado el precursor del género de la novela neo-policíaca en España. Al igual que todas sus obras, sus novelas policíacas también plantean preguntas acerca del problema político, social y cultural que enfrentaba la sociedad española en ese momento histórico. Estas novelas son crónicas de la realidad socio-política de España. Utilizando la fórmula de la novela policíaca como una estructura en torno al cual se organiza construcciones culturales, Montalbán logra sobrepasar los límites de la policiaca en su manifestación tanto clásica como negra. Su serie detectivesca redefine el alcance de la novela policiaca mediante la incorporación de diversos efectos ideológicos y literarios que le permiten crear una nueva obra, que se disocia con todo lo antiguo y se presenta como libre de las características tradicionales del género policiaco. Este artículo es un intento de estudiar las características distintivas de su detective ficticio Pepe Carvalho y su transcendencia para el proyecto cultural de Montalbán.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.013
GPT teacher head0.234
Teacher spread0.221 · 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; both teacher heads agree on what is shown here.

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
Published2016
Admission routes1
Has abstractyes

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