Theatre as Service … My Experience During the Global Pandemic in Canada
Bibliographic record
Abstract
Perhaps the global pandemic (COVID-19) and the death of George Floyd have brought an immense, drastic, and unprecedented turn in human history. Many disciplines are now being intentional about asking critical and ethical questions around race, identity, social justice representation, and systemic change. The same is true for theatre and performance. While events in 2020 stretched and burdened racialized bodies, they also provided opportunities for many racialized bodies to be recognized perhaps because of their knowledge, experiences, identities, and the power and privileges they hold or do not hold. As an African in the Canadian theatre sector and scholarship, I acted in different capacities to address systemic injustice in Canada’s theatre scene during the pandemic. For instance, I co-facilitated some sessions with colleagues from Indigenous, Black, and People of Colour (IBPoC) community for the purpose of creating space for dialogue on issues of concern to this community. In this article, I reflect on how the pandemic produced an initiative that has the potential to address leadership challenges within the performing arts sector.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.021 | 0.010 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".