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Record W2508792505 · doi:10.18192/rceh.v40i1.1601

Los albores de la meta-memoria histórica en el teatro español

2015· article· es· W2508792505 on OpenAlexaffvenue
Alison Guzmán

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2015
Typearticle
Languagees
FieldPsychology
TopicHistorical and Modern Theater Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Sirviéndome de las teorías de Jacques Derrida, Cathy Caruth, Linda Hutcheon, Jan Assman y Pierre Nora, entre otros, examino las maneras en las cuales tres dramaturgos de distintas realidades – un autor consagrado, Antonio Buero Vallejo; un joven prometedor, Jerónimo López Mozo; y un exiliado, José Antonio Rial – dieron pie a lo que denomino la meta-memoria histórica: la confrontación manifiesta y el cuestionamiento teatral de las divergencias, sombras y verdades polifacéticas asociadas con las memorias colectivas simultáneas y posteriores a la Guerra Civil española. Concretamente, los dramaturgos utilizan la memoria explícita – expresada mediante la anacronía, la metateatralidad, y/o el recurso a personajes que son muertos vivientes –, con el fin de resaltar la continua reconstrucción de la historia colectiva. En las postrimerías del franquismo, sus tres piezas respectivas, El tragaluz (1967), Guernica (1969) y La muerte de García Lorca (1969), entablan un diálogo intertextual, fragmentado e indeterminado entre el pasado y el presente. Estas tres obras auguran una estética que cobra cada vez más relieve en el teatro español, a medida que se ha ido tanteando dicho pasado traumático en España durante las últimas cuatro décadas.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.063

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 studies0.0040.008
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0190.001

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 head0.034
GPT teacher head0.314
Teacher spread0.280 · 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".

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Citations2
Published2015
Admission routes2
Has abstractyes

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