Beyond Othello: Performing stages of resistance to racial surveillance in Djanet Sears’ Harlem Duet
Bibliographic record
Abstract
This article analyses Caribbean Canadian playwright and director Djanet Sears’ Harlem Duet (1997), a black feminist adaptation of William Shakespeare’s Othello, as a textual and performative ground on which long-standing racial and gender stereotypes that have fostered white privilege and black exclusion in North America are resisted and overthrown. From settler colonialism to the so-called post-racial era, black people have been subjected to physical and symbolic violence, and to covert and overt surveillance practices. Concomitantly, different strategies of resistance have emerged over time as African Americans have struggled against white hegemonic power within the economic, political and artistic domains. In Harlem Duet (1997), Sears devises a fragmented dramaturgical and performative space in which four stages of resistance to racial surveillance are juxtaposed: mobility, black minstrelsy, mimicry and miscegenation. Within the counter-discourse of Sears’ play, they are experienced as sites of insubordination and emancipation where black men can attempt to defy white surveillance to start claiming an autonomous identity, whereas black women, due to the gender-specific implications of their oppression, have to resort to alternative strategies. By resisting received representations of race and gender embedded in Shakespeare’s Othello and in North American society, Sears puts black women and their side of the story centre stage, thus countering their double invisibility through the highly visible vehicle of theatrical performance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.038 | 0.027 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".