Bibliographic record
Abstract
Setting the Scene\nThe Show Co-written by Don McKellar and Bob Martin, The Drowsy Chaperone debuted in Toronto in 1998 and opened on Broadway in 2006. The two friends had no idea that the joking spoof of 1920s musical comedy that they devised at Martin's 1997 bachelor party would morph into a hit musical of the decade. The show centers on The Man in Chair, a meek, mousy Broadway fanatic, who decides to listen to the soundtrack of his favorite fictional 1920s musical hit, The Drowsy Chaperone. As the music plays, the show comes alive in his apartment and he watches and narrates the stage cues as flappers, gangsters disguised as pastry chefs, and even a female aviatrix sing and dance across his living room. A show within a show, The Drowsy Chaperone fuses big band jazz musical numbers, flamboyant dance routines, and dynamic characters with 1920s Jazz Age culture. The Drowsy Chaperone was nominated for several Tony and Drama Desk Awards and won the Tony awards for Best Original Score, Best Book of a Musical, Best Scenic Design, and Best Costume Design.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.123 | 0.021 |
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".