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Record W1519489355

LIMONOV SEGÚN CASTORF: TRANSGRESIÓN Y NEOTOTALITARISMO EN EL TEATRO VOLKSBÜHNE DE BERLÍN

2014· article· es· W1519489355 on OpenAlexaff
Christine Korte

Bibliographic record

VenueRevistes Científiques de la University of Barcelona (University of Barcelona) · 2014
Typearticle
Languagees
FieldSocial Sciences
TopicGerman legal, social, and political studies
Canadian institutionsYork University
Fundersnot available
KeywordsArt
DOInot available

Abstract

fetched live from OpenAlex

El 2008, el director alemany Frank Castorf va escenificar una adaptació de la novel·la de 1979 d'Eduard Limonov, Fuck Off, Amerika. La novel·la va escandalitzar el públic amb la seva descripció de l'excés capitalista i el nihilisme en detallar les proeses d'un dissident soviètic a Nova York. L'adaptació de Castorf s'alinea amb la crítica de Limonov dels projectes capitalista i socialista i reforça la línia política del seu propi teatre, el Volksbühne berlinès. La producció se centralitza en el protagonista de la novel·la, Eddie (àlter ego d'Eduard Limonov), maximitzant la biografia de la vida real de Limonov com a líder de l'extremista Partit Nacional Bolxevic. Tant Castorf com Limonov concreten les fantasies ideològiques dels primers règims socialistes com una representació postsocialista de la política. Com aquesta descripció depèn de la involucració política de Limonov en zones reals de guerra i conflicte, ambdós artistes utilitzen mitjans qüestionables per marcar terrenys geopolítics on l'"americanització" i el neoliberalisme no han arrelat de manera sòlida. Com a tal, la producció representa l'intent de perpetuar una lluita contra la "colonització" occidental de l'antic Est, que era molt més vibrant durant els anys immediatament posteriors a la caiguda del Mur.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.004
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.007
GPT teacher head0.258
Teacher spread0.251 · 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
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
Published2014
Admission routes1
Has abstractyes

Explore more

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