<i>Concord Floral</i> and <i>This is my room. Look.</i>
Bibliographic record
Abstract
Abstract: Concord Floral, written by Governor General’s Awardwinning playwright Jordan Tannahill, and co-created with acclaimed multidisciplinary artists Erin Brubacher and Cara Spooner, offers us a glimpse of what the future of performance might look like if it took seriously the emotional lives and searing insights of twenty-first century teens. An adaptation of Giovanni Boccaccio’s medieval allegory the Decameron, in which 10 youth take shelter in a villa to hide from the Black Death, the play unearths the dark memories, fears, and desires that swirl around an abandoned greenhouse, a suburban hangout that has become a place of refuge from an often inhospitable and bewildering adult world. The play is accompanied by This is my room. Look. by Erin Brubacher, a series of powerful photographic portraits originally installed with the theatre production. These photos extend our conception of where a performance begins and ends, of what visual, material, and disciplinary worlds a performance might be seen to contain. With an introduction by Laura Levin.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.091 | 0.021 |
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".