Beyond the Cosmopolis: Sustaining Hyper-Diversity in the Suburbs of Peel Region, Ontario
Bibliographic record
Abstract
Globalization has increased the flow of transnational migrants into many European and North American cities. These shifting socio-demographic patterns have resulted in the rapid development of ‘cosmopolitan’ urban centres where difference and diversity are ubiquitous (Sandercock, 2003). However, as ethnic enclaves form outside the urban core in suburban communities, there is uncertainty about whether cultural homogeneity is desirable or sustainable in a multicultural country. Indeed, planning communities for increasing diversity and difference will remain, what Leonie Sandercock (2004) calls, “one of the greatest tasks for planners of the 21st century”. Thus, this article uses the theory of hyper-diversity to illuminate how immigrants’ interactions with their local suburban community represents cultural pluralism and diversity beyond ethnicity. Specifically, this study explores differing attitudes, activities and lifestyles among diverse immigrant populations in the Region of Peel, one of the fastest growing and most culturally diverse areas in Canada. Focus groups with 60 immigrant youth and 55 immigrant adults were conducted to qualitatively capture perspectives and experiences in ethnic enclaves. The findings highlight the existence of attitudes in favor of multicultural lifestyles, activities that take newcomers beyond the borders of their enclaves, and lifestyles that require additional infrastructure to support sustainability of immigration in the suburbs. In conclusion, this article adds to the debate on cultural pluralism and ‘homogeneous’ ethnic enclaves by using the emergent concept of hyper-diversity as a way to think about the future sustainability of suburbs in an era of global migration.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".