Infrequently Asked Questions, or: How to Kickstart Conversations Around Inclusion and Accessibility in Canadian Theatre and Why it Might be Good for Everybody
Bibliographic record
Abstract
I have a habit of liking to flip the familiar. In theatre this manifests as a driving obsession to look for artistic practices and models that work well for institutes, companies, and creators and ask: is this the way you’ve always done things? It’s a good question to start the rock rolling on issues of diversity, inclusion, and accessibility. No matter what the answer is, I like to invite people to start a conversation, to ask who is involved in these successful systems and who isn’t? Not everyone is interested. Heidi Taylor, Artistic and Executive Director of the Playwrights’ Theatre Centre (PTC) in Vancouver, is. Together we developed ACK Lab, an investigation on how to make the PTC Playwright’s Colony, a yearly writing intensive at PTC, more inclusive and accessible to persons with perceived or self-identified disabilities. It was graciously funded by the Bly Capacity grant, a LAMDA initiative and a Canada Council “Leadership for Change” grant. It involved six months of intense conversations and a ten-day workshop during December 2015.
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 | 0.006 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.045 | 0.010 |
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".