Beyond the Cosmopolis: Sustaining Hyper-Diversity in the Suburbs of Peel Region, Ontario
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
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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