Bibliographic record
Abstract
Since AIDS emerged as a health threat in North America in the 1980s, many plays have been written with this disease as central to their plotlines, several to particular critical acclaim and warm audience reception. Tony Kushner’s Angels in America is widely considered one of the theatrical masterpieces of the Twentieth Century, and Jonathan Larson’s Rent remains, more than a decade after its first run on Broadway, one of the continent’s most popular stage musicals. Recognizing that the body of AIDS plays represents a unique interaction between a specific disease and a specific art form, I investigate how the insertion of the theme of AIDS into the world of drama affected the way plays were written, and how the AIDS plays reflected and influenced popular attitudes toward the disease. For my thesis project I am in the process of surveying the portrayals of AIDS in North American plays written between 1985 and 2002, tracking variations in dramatic structure, style, staging techniques, imagery, metaphor, concurrent themes, and the characterization of persons with AIDS and medical professionals. “Plague on Stage” will address the factors that unite and define these plays beyond the thematic inclusion of AIDS, as well as the relationship between theatre and social discourse in terms of a contemporary plague, offering insights gleaned from the AIDS plays on how theatre can more effectively be used as a method of social healing.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.013 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".