Teaching <i>The Colored Museum</i> and Its Doubles: Black Queer Theatrical Aesthetics in <i>Bootycandy</i> and <i>Ain’t No Mo’</i>
Bibliographic record
Abstract
George C. Wolfe’s The Colored Museum is one of the most significant experimental theatre texts of the post-Civil Rights era. The play’s impact on the contemporary dramaturgical imagination is perhaps best measured by and reflected in the various works it has inspired in recent years. For several contemporary Black playwrights, Wolfe’s complex structure, characterization, and plotting have served as vital springboards for crafting their own formally and thematically inventive scripts. Teaching Robert O’Hara’s Bootycandy (2011) and Jordan E. Cooper’s Ain’t No Mo’ (2019) in conversation with Wolfe’s foundational play proves particularly generative for contemplating the ways a spirit of experimentation continues to vitalize Black cultural production in the twenty-first century. This article reflects on my pedagogical approach to analyzing The Colored Museum and its contemporary doubles with students, highlighting some of the insights that doing so has revealed about the artistic and ideological sensibilities suffusing post-Civil Rights African-American drama and theatre. I focus on the nuanced conversations about Black queer theatrical aesthetics that exploring Wolfe, O’Hara, and Cooper’s plays enables and engenders in the classroom. I also demonstrate how teaching these plays creates rich opportunities to introduce students to some of the key concepts and ideas animating queer studies while also enriching their understanding of African American dramatic literature as a crucial site of knowledge production and aesthetic and cultural disruption.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.017 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".