Bibliographic record
Abstract
Experiences of the liminal spaces of ‘arriving’ and the structures of hospitality that frame refugee–host relations were at the heart of Cuisine ta ville (French for Cook Your City), the relational performance project of Montreal-based performance and activist group ATSA (When Art Takes Action), which took place in downtown Montreal as part of the celebrations for the city’s 375th anniversary in May 2017. Cuisine ta ville temporarily transformed the Place des arts esplanade into a reimagined ‘refugee camp,’ inviting Montreal refugees and other Montrealers into intimate encounters organized around the sharing of soup and conversation. Refugees and their friends hosted other Montrealers in theatricalized ‘soup kitchens,’ and strangers were invited by ‘maîtres d’hôtel’ to have an exchange about the question, “How do you define the concept of home?” This article interprets the urban dramas of homemaking and hospitality that were staged in Cuisine ta ville alongside the situation of refugees in contemporary Quebec.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.019 | 0.016 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".