Bibliographic record
Abstract
One popular form of site-specific theatre as it developed through the 1980s involved the production of plays in ‘real’ houses. John Krizanc’s Tamara (1981) premiered in Toronto and subsequently ran for nine years in a Hollywood mansion. Later, the Welsh group Brith Gof, applying a different formula, staged Tri Bywyd (Three Lives, 1995) in a purpose-built, scaffolding structure inspired by the designs of Bernard Tschumi – essentially a ‘house’ where the walls and furniture were transparent. This article examines a Melbourne play, Living Rooms, first produced in 1986 by TheatreWorks – one of a number of alternative companies grouped as Australia’s Next Wave movement. Living Rooms deployed similar staging strategies to Tamara, effectively dividing its audiences into separate groups and rotating them through several rooms in a former family mansion where discrete scenes, each depicting an episode in the building’s history, were enacted simultaneously. Like Tamara, Living Rooms proved immediately popular with its suburban audiences and this success derives, I would argue, from the interplay of diegetic and real spaces inherent in the design of both plays.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".