“Courage to Do What Is Right” on Cold War Broadway: Leonard Spigelgass's <i>A Majority of One</i>
Bibliographic record
Abstract
Throughout the 1950s, the United States experienced major alterations in its global defence alliances and trade treaties. The Cold War threat of Communism initiated the need for pro-democracy allies in Asia. Subtle pro-America and pro-democracy themes were commonly incorporated into theatre, film, and television. Various productions contained Asian or Asian American characters who were depicted as peace-loving, law-abiding, and non-threatening. This essay examines the 1959 Broadway production of Leonard Spigelgass's A Majority of One with regard to the changing mainstream representation of Asian identity in the historical context of the Cold War. The production's portrayal of a dignified Asian identity, a message of racial tolerance, and a progressive positive identity change are examined using the published play-script and other primary source documents from 1959 and 1960. The concept of spatial identity developed by Ulrich Best and Anke Strüver is applied to character behaviour in four separate spaces: a Brooklyn apartment, a trans-Pacific ship, a Tokyo house, and a diplomatic residence.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.025 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".