Inelastic Olympic hopefuls: Rhythmic mis-interpellation in three auditions for the London 2012 ceremonies
Bibliographic record
Abstract
Abstract Between 2011 and 2012, I participated in three auditions for the London Olympic and Paralympic opening and closing ceremonies. Unable to execute the choreographic commands of West End dance captains – those charged with selecting UK residents and citizens for the ceremonies – I found myself out of step with the other Olympic hopefuls on the dance floor. What does my acute lack of rhythm reveal about the necessity for synchrony in national performances? The Olympic Games is a celebration of national belonging on a global stage that unfolds through corporeal solidarity. As my body foreclosed upon the possibility of coordination, it took on a physical inelasticity closer to that of the ‘mechanical inelasticity’ Henri Bergson’s uses to describe the pratfalls in slapstick comedies. I frame my failures on the dance floor as rhythmic mis-interpellation, which is my way of describing how my body’s involuntary refusal of technique cancelled me out without anyone ever having to usher me offstage.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".