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Record W2085671849 · doi:10.3828/bhs.2010.4

Política cursi y modernidad: los despachos de Ramón Gómez de la Serna

2010· article· es· W2085671849 on OpenAlexaff
Maria Soledad Fernández Utrera

Bibliographic record

VenueBulletin of Hispanic Studies · 2010
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Literature and Culture Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHumanitiesArtThe RenaissanceSpanish literatureArt history

Abstract

fetched live from OpenAlex

Este ensayo aborda el estudio de los despachos, en plural, que tuvo Gomez de la Serna a la largo de su vida: el de la calle Puebla, el Torreon de Velazquez, y el de la calle Villanueva en Madrid, y el de Buenos Aires. El objetivo es inspeccionar la realidad material de estas salas de trabajo – pequenos museos de la memoria – a la luz de la documentacion fotografica que nos ha quedado y los comentarios hechos por Gomez de la Serna sobre el diseno moderno en 'El hijo de los muebles nuevos' (1928) y en Ensayo sobre lo cursi (1934). La intencionalidad ultima, sin embargo, es aclarar la posicion estetica e ideologica de Ramon en relacion a la Espana de su tiempo y al binomio tradicion y modernidad.This essay studies the four spaces where Gomez de la Serna worked and wrote in his lifetime; the one on Puebla Street, the 'Torreon Velazquez' and the one on Villanueva Street in Madrid, and the last one in Buenos Aires. The material objects in these small museums of popular culture are analysed through available pho...

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: Other · Consensus signal: Other
Teacher disagreement score0.063
Threshold uncertainty score0.126

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 studies0.0070.015
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.012
GPT teacher head0.287
Teacher spread0.275 · 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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