Bibliographic record
Abstract
Can theatre, as we know it, survive mediatized performance? For a large part of the twentieth century, theatrical performance was implicitly defined in opposition to performance in film or other recorded media. In the general public’s perception, theatre was a form of dramatic performance that was “live,” meaning that the performers were right there in front of you interpreting a piece of dramatic literature as you watched. Such a definition was useful to the average spectator in marking the difference between experiences of theatrical performance and experiences of similar kinds of performance on film or television. In the latter two forms, we, as spectators, know that what is in front of us is a series of images of a performer, pieced together in an unseen editing room and presented to us without the actual presence of the performers whose images we see on the screen. But these strict distinctions no longer work in the early years of the twenty-first century, where the boundaries between theatre and other art forms, between recorded and live, im-mediate1 and mediatized forms of dramatic performance are increasingly blurred, both in practice and in theory.
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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.061 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".