Foreign Radical
Bibliographic record
Abstract
Theatre Conspiracy’s Foreign Radical is an interactive, multimedia theatre show with multilingual elements in Farsi and Arabic. Thirty participants enter an intriguing theatrical game that explores security, profiling, freedom of expression, and privacy in the age of cybersurveillance. Mobile throughout the performance, the participants collaborate, compete, investigate, debate, and spy on each other. The Foreign Radical set is divided into four quadrants where participants, depending on personal and group responses to various questions posed by the game’s ‘host,’ witness different perspectives on the action. They are at times divided into groups or left all alone to gather evidence from dramatic scenes and documentary media that colour their views and how they play the game. Each performance is unique in that the audience dynamic influences the outcome. The show was co-created by Theatre Conspiracy artistic producer Tim Carlson (writer), Jeremy Waller (director), Kathleen Flaherty (dramaturge), David Mesiha (sound design/original music/technical direction), Cande Andrade (video design), Florence Barrett (stage management), and performers Milton Lim and Aryo Khakpour. It premiered at The Cultch in Vancouver in 2015 and has been presented by the Carrefour festival in Quebec (2017), Canada Hub at Edinburgh Festival Fringe (2017), and High Performance Rodeo in Calgary (2018). It has been awarded the 2015 Critics Choice Innovation prize in Vancouver and an Edinburgh Fringe First Award 2017, as well as being chosen by Quebec critics as one of the top-five shows from outside the province in 2017.
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 | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.477 | 0.183 |
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".