Beyond the Multiculture: Transnational Toronto in Dionne Brand’s What We All Long For
Bibliographic record
Abstract
In Pico Iyer’s autobiographical travelogue The Global Soul (2000), Toronto functions as a kind of ideal space of globalization, a representation that perpetuates the myth of Toronto as the pioneering bastion of successful multiculturalism. The contradictions and problematic assumptions inherent in Iyer’s “global” Toronto are thrown into sharp relief when set against Dionne Brand’s What We All Long For (2005). Focusing on the character of Quy particularly enables a more complex understanding of Toronto as a globalized urban space. The interpolation of Quy in the narrative constitutes a sustained examination of how multicultural Toronto is implicated in a distinctively unequal form of globalization. Such a reading of Brand’s novel reinforces recent critiques of global, multicultural cities articulated in Doreen Massey’s World City (2007) and Kit Dobson’s Transnational Canadas (2009).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.025 | 0.033 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".