South Asians in Toronto: geographies of transnationalism, diaspora, and the settling of differences in the city
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article examines the formation of South Asian identities through transnational urban networks. Using narratives of South Asians in Toronto from diverse contexts of migration and settlement, I investigate the ways in which the city brings together geographies of South Asian transnationalism and diaspora in the production of identities. In the first section, I examine how connections across urban centers in Toronto, South Asia, and the South Asian diaspora re-spatialize identities. The second section focuses on the relation between discourses of urban multiculturalism and South Asian diasporic identities in Toronto. I find that South Asian identities are formed through connections across urban sites and in everyday encounters in the city. These identities cannot be contained within national conceptions of diaspora and are owed to the particular experiences of migration and settlement in the city and in the transnational spaces that shape diasporic imaginaries.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it