Changing the Shape of Things: A Reflection on Power, Privilege, and the Benefits of Institutional Transformation
Bibliographic record
Abstract
I have spent my life in privilege. I am white. I come from a very comfortable middle-class family. I was born in Canada. I was given access to the best schools and have had a life filled with wonderful work opportunities. I came out as queer in my twenties, was Artistic Director of Buddies in Bad Times Theatre in my thirties, and in my forties I brought it all to a head with both the creation of The Failure Show: A 13-point manifesto for the consideration of failure, and the completion of an MA in Cultural Studies from Queen’s University.1Now in my fifties I find myself at Canada’s National Arts Centre (NAC), working in English Theatre with Jillian Keiley and the rest of the team. Of all the things that have changed since I was born, my privilege has remained the same but my sense of it has changed completely.
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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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.067 | 0.154 |
| Scholarly communication | 0.025 | 0.013 |
| Open science | 0.003 | 0.021 |
| Research integrity | 0.006 | 0.016 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".