Bibliographic record
Abstract
Site-specific performance relies on the terms space and place as markers for discussing a performance's engagement with a site. However, practitioners and researchers are often disgruntled by the limitations such terms impose upon site-specific performance – as was Melanie Kloetzel, in the creation of The Sanitastics, a site-specific dance film created in the Calgary Walkway System. In this article, Kloetzel examines how theorists have struggled with space and place in the last four decades and how bringing in the perspective of the body allows us to reassess our assumptions about these terms. As she analyzes her creative process, she discovers the restrictions as well as possibilities in space and place, but she also notes the need for Marc Augé's idea of non-place to clarify her site-specific efforts in the homogenized, corporate landscape of the Walkway System. Kloetzel is an associate professor at the University of Calgary and the artistic director of kloetzel&co, a dance company founded in New York City in 1997 that has presented work across North America. Her site-specific films have been shown in Brazil, Belgium, Canada, and the United States, and her anthology with Carolyn Pavlik, Site Dance: Choreographers and the Lure of Alternative Spaces, was published by the University Press of Florida in 2009.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".