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Record W390611297 · doi:10.1353/ltr.2014.0021

Entrevista a Ximena Escalante

2014· article· en· W390611297 on OpenAlexaboutno aff
Alfonso Varona

Bibliographic record

VenueLatin American theatre review · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature, Culture, and Aesthetics
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

siesta de Pirandello (1996) y Cary Grant (1997).Escalante irrumpió en la escena teatral mexicana con Fedra y otras griegas en el año 2002.Este texto se ha estrenado en Canadá (Ottawa, Quebec y Montreal), Nueva York, Francia (París y Lyon), Atenas y Bogotá.A partir del 2004 destacan las escenificaciones de Yo también quiero un profeta (2004), Colette (2005), La piel (2006), Andrómaca Real (2006) y Electra despierta (2009), entre otros títulos, con una sobresaliente recepción crítica del público.En sus propias palabras: "llevo una década produciendo, publicando y representando obras ininterrumpidamente -desde 2002 hasta el 2010 he tenido todos los años al menos tres obras en escena-en México y en otros países". 1La presente entrevista tomó lugar en el café El Péndulo de la colonia Roma, en la ciudad de México, el lunes 29 de julio del 2013.Buena parte de la conversación versó sobre la escenificación de sus textos más recientes, Las relaciones (sexuales) de Shakespeare (y Marlowe) y Tennessee en cuerpo y alma. 2Primer acto ¿Qué maestros/as consideras fundamentales en tu formación?¿Cuáles consideras tus influencias literarias?

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)0.003
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.141
Threshold uncertainty score0.280

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.002
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
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 head0.013
GPT teacher head0.230
Teacher spread0.217 · 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
Published2014
Admission routes1
Has abstractyes

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