‘It's Not Going to be Suburban, It's Going to be All Urban’: Assembling Post‐suburbia in the Toronto and Chicago Regions
Bibliographic record
Abstract
Abstract Urban and suburban politics are increasingly intertwined in regions that aspire to be global. Powerful actors in the Chicago and Toronto regions have mobilized regional space to brand rescaled images of the urban experience, but questions remain as to who constructs and who can access the benefits of these revised spatial identities. Local political interests have tended to be obfuscated in the regional milieu, most problematically in the spaces between the gentrified inner cities, privileged growth nodes, and the glamorized suburban subdivisions and exurban spaces beyond the city limits. This article analyses how socio‐spatial changes in post‐suburbanizing urban fringes contribute to the way regions are being reconfigured and reimagined. Guided by current debates at the intersection of assemblage theory and critical urban political economy, our analysis demonstrates how socio‐technical infrastructures, policy mobilities and political economic relations are spatially aligned, sustained and dissolved in splintering North American agglomerations. Particular attention is paid to issues of urban transportation and connectivity in uncovering multifaceted modes of suburbanism that now underlie the monistic imagery of the globalized region. Emergent regionalized topologies and territoriality blur conventional understandings of city–suburban dichotomies in extended urban areas that are now characterized by polycentric post‐suburban constellations. In terms of their substance and functionality, ‘real existing' regions are currently re‐territorialized as complex assemblages that are embedded in a neoliberalizing political economy whose politics and identities are only beginning to be revealed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.015 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".