Bibliographic record
Abstract
This article opens by examining Super Night Shot, a performance devised by the Berlin-Nottingham group Gob Squad that was produced at three arts festivals across Canada in 2014. It looks specifically at Super Night Shot’s performance in the PuSh Festival’s tenth-anniversary gala and examines the appeal that Gob Squad’s comic brand of art activism holds for festivals. In recent years the political dissent expressed on fringe and festival stages in Canada has often met with backdoor censorship through the defunding of grants by the Department of Canadian Heritage. The Montreal-based group ATSA has experienced this first-hand through Canadian Heritage’s defunding of their “manifestival,” État d’Urgence. (The decision to withdraw funding happened on the eve of ATSA’s 2010 festival.) The article compares the art-activist tactics used in both Super Night Shot and État d’Urgence and proposes that in a climate of silencing by disinvestment it may be safer to program the appearance of dissent rather than a concrete manifestation of it. It concludes by examining a small-scale version of État d’Urgence staged in Vancouver’s Downtown Eastside, The Pigeon’s Club (2011), and argues for the importance of face-to-face encounters in the public square that challenge citizens to take social and political responsibility for one another.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.027 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 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".