Meta-Melodrama: Branden Jacobs-Jenkins Appropriates Dion Boucicault’s <i>The Octoroon</i>
Bibliographic record
Abstract
In adapting the nineteenth-century melodrama The Octoroon, Jacobs-Jenkins both satirizes Boucicault’s racial assumptions and emulates his aesthetic principles to produce a meta-melodrama, a play that at once celebrates and critiques its own form while providing a stinging indictment of racial attitudes in the twenty-first century. This essay draws on both the published script and audience responses to Soho Repertory Theatre’s two stagings of the play in 2014 and 2015 gleaned from reviews, blogs, and interviews. The contemporary context and cross-racial casting of An Octoroon ironize and adapt the meaning of Boucicault’s play, making it appropriate for the twenty-first century. Through his use of italicization, Brechtian quotation, the new contemporary dialogue he writes for the slave characters, and his shocking updated sensation scene, Jacobs-Jenkins induces his audience to question their own and each other’s racial reactions even as they are caught up in the play.
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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 | 0.001 | 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 | 0.006 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".