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Record W3162655415 · doi:10.18274/xlrq3534

Indigenizing Macbeth: Vishal Bhardwaj's Maqbool

2023· article· en· W3162655415 on OpenAlex
Suddhaseel Sen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBorrowers and Lenders The Journal of Shakespeare Appropriations · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Vishal Bhardwaj, a filmmaker and composer of Bollywood scores, has achieved considerable popular and critical success worldwide with his two adaptations of Shakespeare, Maqbool (Macbeth) and Omkara (Othello). Both films are very different from those postcolonial adaptations that tend to "talk back" to Shakespeare; instead, Bhardwaj represents the strain of a transcultural adaptation of Shakespeare whose beginnings lay in the nineteenth-century Parsi theater's first forays into indigenizing Shakespearean plays for local audiences. With Maqbool, Bhardwaj creates a film that is unique among those few global cinematic adaptations of Shakespeare that have successfully indigenized Macbeth at the level of setting, plot, language, and generic conventions without diluting the complex issues raised by Shakespeare's play.

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.

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 score0.545
Threshold uncertainty score0.722

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.235
Teacher spread0.190 · 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