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Record W2901474726 · doi:10.3138/md.61.4.0965

Gestures of Remembrance in Paula Vogel and Rebecca Taichman’s <i>Indecent</i>

2018· article· en· W2901474726 on OpenAlexvenueno aff
Joanna Mansbridge

Bibliographic record

VenueModern Drama · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Theory and Political Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsGestureCensorshipContext (archaeology)ForegroundingArtDialecticHuman sexualityAgency (philosophy)LiteratureAestheticsVisual artsHistorySociologyPhilosophyGender studiesEpistemologyLinguistics

Abstract

fetched live from OpenAlex

Playwright Paula Vogel and director Rebecca Taichman’s Indecent (2015) stages the story of Sholem Asch’s controversial Yiddish play God of Vengeance (1907). With Asch’s play as the central character, Indecent redistributes dramatic and historical agency to the theatrical event, using gestures as the agentive force of remembrance. Gesture in Indecent is used to crystallize a critical moment – what Walter Benjamin termed the dialectical image – in order to ask what it means to the present. Foregrounding the role of theatre in constructing cultural memory, Indecent poses pressing questions to the present about immigration, sexuality, censorship, and self-censorship in the United States and illustrates the way history, like theatre, is an ongoing act of recognition. The indecencies suggested in Vogel’s title turn out to be not in Asch’s play but rather in its reception, in the surrounding social context of anti-Semitism and fear of immigrants, and implicitly, in the present’s failure to remember.

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: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.011
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.003
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 head0.023
GPT teacher head0.320
Teacher spread0.297 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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