<i>Uqqudq, the Shelter:</i> Building a Space for Intercultural Exchange
Bibliographic record
Abstract
I originally thought of Geneviève and Laurentio for this issue on audiences because I remembered their Uqquaq, the Shelter as a piece that evoked a particular audience-performer intimacy. I saw their production at a studio on the corner of Front and Cherry Streets in Toronto, on a frigid February evening in 2007. I remember waiting sceptically for a friend on the all but deserted street, hoping that this production would be worth the wait in the freezing cold and the trek to a crossroads that’s not transit friendly in the best of weather. On entering the studio, we were asked to take our shoes off and don a pair of slippers; we were invited to take a seat on the floor with other audience members, who encircled the performance space in which Geneviève and Laurentio had already set to work, Laurentio softening with his teeth the sealskin rope that would form the skeleton of their shelter, Geneviève gathering the yarn that would make up its outer layer. This working space was simultaneously their performance space.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.013 | 0.011 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 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".