Bibliographic record
Abstract
In recent years opera studies have taken a distinctly global and migratory turn: Nancy Rao's Chinatown Opera Theater is a notable example. Rao's book sheds new light on the art form's transpacific networks, Cantonese immigrant communities and their highly racialised experience of everyday entertainment in early twentieth-century America, thereby ‘strip[ping] the veneer of exoticism from [southern] Chinese [i.e., Cantonese] opera, placing it firmly within the bounds of American music and a profoundly American experience’. Still more illuminating is Rao's focus on the Chinatown theatre companies, their contracting of touring performers and their role in transoceanic commerce. Woven into the book is an intimately connected narrative of Cantonese opera in the 1920s, encompassing San Francisco, Vancouver, New York, Honolulu and (to a lesser extent) Havana. The selection of these locations is no coincidence, given their significance in the interwar years as port cities linked within imperial steamship networks, amidst the part-conflicting, part-intersecting agenda of dominant and emergent empires (for instance, Japan and the United States, in the case of the latter).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".