Legacy: Reflecting on the Impact of the 2010 Olympics on Creative and Producing Practices
Bibliographic record
Abstract
Theatre artist Adrienne Wong discusses the legacy of creating work within the context of the 2010 Vancouver Olympic and Paralympic Games. She uses as reference points three projects produced by Neworld Theatre in the years leading up to, during, and after the 2010 Vancouver Olympic and Paralympic Games. The artist discusses how the Olympics-related funding in British Columbia facilitated the production of new projects, including PodPlays (a series of locative audio plays), but how the monies also carried expectations for crediting and interacting with Olympic sponsors. Wong explores how these requirements affected the creation and production of HIVE 3 (twelve micro-performances clustered around a central bar), specifically the stipulation of where critique could be expressed (within the artwork) and where it could not (in public statements). Wong posits that protest is central to the experience of the Olympics for people living in BC, where significant budget cuts were implemented that affected all social programs, the arts included. In response, Neworld Theatre produced The Apocalympic Cabaret, a event centred on artists and perspective. Wong concludes that participating in Olympics programming developed her producing skills and left her more deeply invested in using theatre to engage in and promote civic discourse.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".