Bibliographic record
Abstract
By analyzing Duffin’s Donuts in East Vancouver as a temporal-spatial landscape of afterwar, we suggest that refugee place-making entails racial taste-making—the labour and pleasures involved in producing sensorial, culinary, and aesthetic tastes that constitute the everyday experiences of imperial haunting. We argue that the donut shop’s 24/7 temporality indexes such a haunting: On the one hand, it marks the long duration and unrelenting conditions of labour exploitation under racial capitalism and transpacific imperialism, and, on the other, it fragments and suspends the linear chronology of multicultural inclusion and capitalist success. We conduct a close reading of the restaurant’s spatial aesthetics, signage, and menu in order to consider how the readymade—as a genre of art objects and as instant meals—traces lineages of transpacific imperialism and makes apparent the limits of neoliberalism’s promises of seamless production. We situate the intersection at Knight Street and 41st Avenue within the global circuits of supply chain capitalism. In doing so, we tell an alternative story of the Cambodian donut shop—one in which Duffin's serves as a hinge that links East Vancouver to larger, ongoing projects of just-in-time Empire, and allows us to see the possible survival strategies of, and opportunities for solidarities through, refugee place-making.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.045 | 0.003 |
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".