Bibliographic record
Abstract
What happens when a performing arts institution’s and a producing partner’s mutual desire to attract audiences to intelligent work that speaks to the diverse urban community each claims to represent comes up against a competing corporate brand? I explore this question by investigating the evolving relationship between Vancouver’s PuSh International Performing Arts Festival and SFU Woodward’s, home to Simon Fraser University’s School for the Contemporary Arts and a lightning rod for public debate following a controversial corporate rebranding in the fall of 2010. That rebranding, I argue, also exposes some of the materialist faultlines (cultural, economic, urban) subtending both PuSh’s programming at SFU Woodward’s and the latter’s placed-based identity within Vancouver’s economically depressed and socially marginal Downtown Eastside. The paper is divided into three sections. First, I provide some contextual background on PuSh and SFU Woodward’s, and on the development of their respective performance brands. Next, I draw on interviews with PuSh Artistic and Executive Director Norman Armour and Woodward’s Director of Cultural Programming Michael Boucher to assess the benefits and challenges that have so far accrued as a result of their partnership. Finally, I conclude with readings of three productions staged by PuSh at Woodward’s, arguing that their content helps to foreground competing ideologies of urban sustainability versus gentrification, and the role of non-profits (cultural and educational) in the rebranding of inner-city neighbourhoods.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.006 |
| Scholarly communication | 0.012 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".