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MORFOLOGÍA Y SIGNIFICADO DE LA CAMA EN MARCEL PRÉVOST. DEL LECHO CONYUGAL AL CAMASTRO DEL ADULTERIO

2022· article· es· W4206303391 on OpenAlexfundno aff
Jordi Luengo López

Bibliographic record

VenueSigna Revista de la Asociación Española de Semiótica · 2022
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Literature and Culture Studies
Canadian institutionsnot available
FundersUniversidad de ValladolidMcGill University
KeywordsHumanitiesArtBourgeoisiePoliticsPolitical science

Abstract

fetched live from OpenAlex

El erotismo ha sido siempre una constante en la producción literaria de Marcel Prévost. Una sutil exaltación física del deseo que el escritor parisino proyectaba en la narrativa de aquellas escenas y situaciones que recreaba en sus textos. En muchas de ellas, la cama será el centro neurálgico de esa amatoria, generada o contenida, alrededor de la cual las mujeres burguesas tamizaban su existencia en el círculo social al que pertenecían. A lo largo del presente estudio profundizaremos en los significados de la cama, yendo desde la sacralidad del lecho conyugal a los camastros improvisados en lugares ocultos para consumar la infidelidad, concibiéndose este mueble de sueño y ensueño como dual representación física de libertad y sujeción entre los individuos. Abstract: Despite not being recognised by the literary critics as an erotic writer, Marcel Prévost frequently invokes the heightening of passionate love and the scenes which depict it. In many of them, the bed was the nexus of that ars amatoria, created or contained, around which Bourgeois ladies sifted their existence within the social circle they inhabited. This paper examines in depth the meanings of the bed, from a sacrosanct marital space to a clandestine mise-en-scene to consummate adulterous liaisons, approaching this piece of furniture, created for sleep and dreams, as a dual physical representation of freedom and subjection between individuals.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0030.000
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.005
GPT teacher head0.243
Teacher spread0.238 · 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.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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