Perceiving <i>Hommages</i> at Toronto’s World Leaders: A Festival of Creative Genius: On the Role of Innovative Light-Based Scenography in Creating a Space for the Celebration of “Cultural Icons.”
Bibliographic record
Abstract
Toronto’s Harbourfront celebrated its first quarter-century with a five-week fete honouring fourteen “cultural icons.” Artists invited to the World Leaders: A Festival of Creative Genius included fashion and art designer Issey Miyake;1 Cirque du Soleil founder Guy Laliberté; designer and inventor Philippe Starck; architect Frank Gehry; writer and performer Lily Tomlin;2 composer, lyricist and dramatist Stephen Sondheim; filmmaker Bernardo Bertolucci; visual artist Robert Rauschenberg; playwright, screenwriter and actor Harold Pinter; singer, songwriter, painter and poet Joni Mitchell; multimedia theatre and film director Robert Lepage; musician, composer and humanitarian Peter Gabriel; musician, arranger, writer, media producer and filmmaker Quincy Jones; and dancer and choreographer Pina Bausch. From 1 October to 6 November, in the Liberty Grand (the refurbished former casino) on the grounds of the Canadian National Exhibition, Harbourfront hosted fourteen special evenings. Each consisted of a dinner featuring the cuisine of a renowned Toronto chef, followed by an hommage. The two locales on each occasion were the restaurant of the Canadian National Exhibition (CNE) and a neighbouring specially created space. One of the creative challenges confronting Harbourfront and the one with which this article is concerned, was the scénographie context for each hommage.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".