Bibliographic record
Abstract
In 1993, following a Grateful Dead concert in Eugene, Oregon, Ken Kesey held the world premiere of Twister: A Ritual Reality in Four Quarters Plus Overtime If Necessary at the National Guard Armory. A play structured loosely around the characters from L. Frank Baum's The Wizard of Oz, since its inception Twister has seen manifestations and utilized technologies in a wide variety of media, including text, costuming, music, lighting, lasers, projection of puppet silhouettes, still and video images, pyrotechnics, hypermedia, e-mail, and computerized edited video. In the play each of the major characters faces turn-of-the-twenty-first-century crises in the world today: The Hungry Wind, The Lonely Virus, and The Restless Earth, which deal, respectively, with tornadoes and hurricanes that bring famine, AIDS and other plagues, and earthquakes, all of which Kesey cites as being on the rise. Kesey is trying to revolutionize theatre through the co-opting of ritual, and, through the use of new technologies he hopes to re-encode the customs of theatre within which Twister is invariably presented. For Kesey, theatre is neither solely ritual nor completely drama in a traditional sense: he unerringly challenges the view of theatre's obsolescence and brings forth a critical element to today's new communication channels (Kesey, personal interview). Kesey's use of technology attempts to create a dramatic arena never seen before and actually redefines the boundaries between drama and new textualities as the vanguard of contemporary cultural politics.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.058 | 0.009 |
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".