Bibliographic record
Abstract
Me Out. Written by Richard Greenberg, directed by Joe Mantello. Bagley Wright Theatre, Seattle WA. November 12, 2004. Last spring I read Richard Greenberg's play Take Me Out and was captivated. I hoped to someday get a chance to see the play performed, and not merely because of the promise of male nudity. Reading a play, no matter how well-written, cannot capture the highs and lows of comedy and drama, or the effect of pacing on either. In the same way, reading a box score or story (no matter how well-written) cannot capture the beauty of a well-turned double play, the excitement of fans screaming in unison as the runner rounds third, or the tense battle between pitcher and batter. When I saw Take Me Out it was the second game of the season at the Seattle Repertory Theater. Though the on-stage cast differed from those who had performed in the Tony award-winning Broadway production (with the exception of Gene Gabriel, an original cast member and the movement consultant), the actors in the Seattle production were up to the task. The performances of Doug Wert, as Kippy Sunderstrom, and of T. Scott Cunningham, as Mason Marzac, were especially memorable. Director Joe Mantello, who won a Tony award for Take Me Out on Broadway, along with set designer Scott Pask, costume designer Jess Goldstein, and sound designer Janet Kalas all reprised their Broadway roles. They created believable clubhouse, shower, and on-the-field scenes with a set so well designed that it never has to physically change. A plot synopsis would go something like this: star biracial baseball player announces that he is homosexual, setting in motion a particular chain of events among his fans, friends, and teammates. Professional team sports have long struggled with the idea of having homosexual teammates. Billy Bean, for example, came out only after he retired from the game, having played his career under a sort of de facto ask, don't tell policy. Any work involving unresolved issues surrounding homosexuality will necessarily touch on questions of tolerance, bigotry, and even religion. But categorizing Take Me Out as a play written solely to grapple with these issues (though important) minimizes it. It is also a story of friendship, of acknowledging and accepting who we are both privately and publicly. But most of all, it is a story of an unabashed, unadulterated love for baseball. Greenberg's play does engage in some stereotypes of its own in the sketches of the minor characters: the dumb jock (the catcher, probably the position least likely to be the dumb jock), the macho Latino ballplayers, and the too-intense Japanese pitcher. But Greenberg's main characters are more deeply, if subtly, drawn, inviting us to want to learn more about them. Even the John Rocker-like character of Shane Mungitt intrigues us as we learn about his troubled childhood and his anguished need for baseball. …
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.600 | 0.490 |
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".