Performing Outside of the Box
Bibliographic record
Abstract
Intimate and emotional as a confessional, a doctor’s office or a romantic table for two, Theatre Replacement’s installation, BioBoxes, radically reduces the space of theatrical performance to its absolute minimum. Each ten-minute performance piece is housed in a miniature theatre, with a single chair for the lone audience member and a box resting on the shoulders of the performer forming the stage. The visceral experience of sitting knee-to-knee, making direct eye contact, in shared isolation fosters a unique communion between actor and audience. Some boxes also invite active participation; audience members are asked to hold and look at photographs, write in a journal, light incense or eat a chocolate. In this profoundly engaging environment, the actors relate stories gleaned from biographical interviews with six first-generation Canadians. Audience members can decide whether they wish to hear the story of a given box in English or in the language that represents the cultural heritage of its biographical subject: French, Italian, Japanese, Serbo-Croatian, German or Cantonese. Created by the actors themselves, the boxes are richly designed, making enchantingly innovative scenographic use of the limited space.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.005 |
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".