Bibliographic record
Abstract
At the start of the millennium, Vancouver-based video artist Paul Wong was commissioned by the Canadian Race Relations Foundation, a state-funded agency, to make a series of brief public service announcements for television, which he titled Refugee Class of 2000 and which form part of the CRRF’s “See People for Who They Really Are: Unite Against Racism” campaign.In the three brief videos, Wong brings the viewer face to face with students from the graduating class at Charles Tupper High School in Vancouver, while also exhuming the history of racism and racist exclusion in Canada. This paper examines the subtle ways in which Wong, working for a state-funded agency, negotiates the complex balancing act between complicity and critique in dealing with issues of national belonging, official multiculturalism, racism, identity politics, citizenship, and transnational or diasporic identity in Refugee Class of 2000. It argues that in Wong’s form of Asian Canadian critique, the transnational identities of the refugee subjects—not all of whom are Asian, and not all of whom are refugees by conventional definitions—bring pressure to bear on nationalist concepts of citizenship and belonging, insisting on the paradoxical notion of refugee citizenship as an alternative to conventional concepts of national belonging.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.019 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".