From Jug Band to Dixieland: The Musical Development behind August Wilson's <i>Ma Rainey's Black Bottom</i>
Bibliographic record
Abstract
Ma Rainey takes place in 1927 and introduces us to a fictionalized version of the real blues singer Ma Rainey, spending an afternoon in the recording studio with her backup band. The latter dominates the action, and we watch as Cutler, Slow Drag, Toledo, and Levee practise a few tunes, chat about their lives, and squabble over their differences while being overseen by the people who have the real control: the white producer, Sturdyvant, and the band's agent, Irvin. Ma, with her entourage, appears late in the play to make her recording, and although she is a powerful symbol, it is Levee who dominates the action of the play and provides the shocking denouement in which he kills Toledo. One question the play raises is, Whom should we support — Ma or Levee? The play's title attests to the ambivalence of Wilson's answer. Although it names Ma, it actually refers to the song rather than to the person, and it is a song that Levee is trying to claim for his own. The similarities between the characters ensure that we cannot easily dismiss the claims of either one..
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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 | 0.010 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".