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Record W3199493952 · doi:10.18778/2083-8530.23.05

From Social Justice to Metaphor: The Whitening of Othello in the Russian Imagination

2021· article· en· W3199493952 on OpenAlexafffund
Natalia Khomenko

Bibliographic record

VenueMulticultural Shakespeare Translation Appropriation and Performance · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicBalkans: History, Politics, Society
Canadian institutionsYork University
FundersYork University
KeywordsBlackfaceMetaphorRussian literatureLiteratureAestheticsIdeologyEgalitarianismSlavic languagesWhite (mutation)SociologyHistoryArtPoliticsPhilosophyLawPolitical scienceArt history

Abstract

fetched live from OpenAlex

Othello was the most often-staged Shakespeare play on early Soviet stages, to a large extent because of its ideological utility. Interpreted with close attention to racial conflict, this play came to symbolize, for Soviet theatres and audiences, the destructive racism of the West in contrast with Soviet egalitarianism. In the first decades of the twenty-first century, however, it is not unusual for Russian theatres to stage Othello as a white character, thus eliminating the theme of race from the productions. To make sense of the change in the Russian tradition of staging Othello, this article traces the interpretations and metatheatrical uses of this character from the early Soviet period to the present day. I argue that the Soviet tradition of staging Othello in blackface effectively prevented the use of the play for exploring the racial tensions within the Soviet Union itself, and gradually transformed the protagonist’s blackness into a generalized metaphor of oppression. As post-collapse Russia embraced whiteness as a category, Othello’s blackness became a prop that was entirely decoupled from race and made available for appropriation by ethnically Slavic actors and characters. The case of Russia demonstrates that staging Othello in blackface, even when the initial stated goals are those of racial equality, can serve a cultural fantasy of blackness as a versatile and disposable mask placed over a white face.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.708
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.044
GPT teacher head0.314
Teacher spread0.270 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueMulticultural Shakespeare Translation Appropriation and PerformanceSame topicBalkans: History, Politics, SocietyFrench-language works237,207