Bibliographic record
Abstract
This text is an interview by Chris Dupuis with Benj Gallander, Greg Holmgren, Robert Sherwood, Ben Stadelmann, and Carol Pauker, the founders of the SummerWorks Festival. The team first assembled after being unable to secure slots at the Toronto Fringe Festival, with the idea of starting an alternative summer theatre event that would offer space to artists unable to get into the Fringe. They discuss the first conversations around launching the event through its early years, including the challenges of starting from scratch and running the project collectively and the various triumphs and failures they experienced. They outline changes in the selection process, the move from a first come, first served, model to a lottery system similar to the Fringe, and the gradual introduction of curation through the Parallel Lab initiative. Finally, they discuss how the festival shaped them personally and the event’s lasting impacts on the Toronto theatre sector. The text also includes references the late eighties Toronto theatre scene, including Tomson Highway, Hillar Littoja, and Buddies in Bad Times.
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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.012 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.152 | 0.036 |
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".