Archetypes, Urbanites and Bus Rides: How the “Here“ Becomes the “There“ in Bluemouth Inc.’s <i>American Standard</i>
Bibliographic record
Abstract
The spinning red-and-white pole outside Pat’s Barber Shop on D’Arcy Street in Toronto carries all the promise of a “clean cut“ — flat-top, military cut or shave with a straight-edge razor — fast and cheap. Inside Pat’s shop, there is more talcum powder than oxygen, and the mise en scène, consisting of yellowed walls, worn chairs and a hat rack, appears like a deteriorating illusion nesting among city hospitals, university buildings and trendy restaurants. It is precisely this incongruous setting of small-town coiffeur and modernist architecture that first attracted Bluemouth Inc., an interdisciplinary, site-specific theatre collective based in Toronto and New York City, to mount their March 2005 production, American Standard, in Pat’s Barber Shop. Unfortunately, the shop’s landlord did not share the collective’s enthusiasm for turning a men’s grooming business into a performance site and abruptly denied them the use of the store one week before the production was scheduled to open. “It’s not uncommon for us to lose a space at the last minute,“ says core member and composer, Richard Windeyer (Personal interview). Fortunately, Zero Gravity Circus, an east-end movie theatre turned circus rehearsal hall, was made available to the collective, and spectators were bused from the original D’Arcy Street location to a simulated version of Pat’s Barber Shop that consisted of a lone barber chair, multimedia and some masking tape.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.020 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".