Performance design as mnemonic device for critical engagement with the spatial politics of urban change: the<i>ARCADE</i>project
Bibliographic record
Abstract
In this article I consider a broad history of relations between theatre (architecture) and urban planning alongside what architectural theorist Anthony Vidler describes as ‘the double role’ of urban space and theatrical space, exploring performance design as a mnemonic device for critical engagement with the spatial politics of urban change. Inspired by recent writings on contemporary performance design and scenographic practices that ask us to consider how the field has expanded or is moving ‘beyond scenography’, I take as a case study the ARCADE project. Conceived by Montreal based artists 2boys.tv, the ARCADE project is a retail outlet that holds a special collection of shoes and shoeboxes that contain miniature theatrical scenes and fictional realities. The project takes its inspiration from the urban environment in which it is crafted. The scenes contained within the shoeboxes all together make up one larger urban imaginary, a fictional narrative of the city, or a particular urban location or neighbourhood. The miniature visions inside the shoeboxes are revealed using a variety of methods, from simple static maquettes or tableaux, to more technically involved stereographic 3D video and audio works, to participatory works (i.e. chapbooks or maps).
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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 | 0.011 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.027 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".