“Wall Street Lays an Egg”: Financial Drama and the 1933 Banking Collapse in Archibald MacLeish’s <i>Panic: A Drama of Industrial Crisis</i> (1935)
Bibliographic record
Abstract
Asserting that the Wall Street Crash was a drama staged in the public arena of the early 1930s, this essay examines the context and performance history of the poet Archibald MacLeish’s verse drama about the suicide of a banker, Panic: A Drama of Industrial Crisis (1935). The play is one of very few representations onstage of the banking crash of 1933 and marks a turning point in the politics of both the writer and his audience. Looking through the prism of contemporary reviews, letters, and memoirs from the era, the article pieces together historical fragments about this play and its performances to explain how a liberal, pro-capitalist writer, such as MacLeish, came together with the Marxist critics of the New Masses magazine to create a historic final-night performance of his now-forgotten 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.016 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".