Beyond Sprawl? Regulating Growth in Southern Ontario: Spotlight on Brampton
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
Over the past two decades, the province of Ontario has deliberately upscaled regional governance by creating a firm framework of land use planning. This entailed plans at the super-regional level that protect a large Greenbelt, designate growth centres, and roll out massive transit investment. This laid the foundation for a “real existing regionalism” in which growth management was produced through multiple conversations, contestations, technological change and territorial restructuring. By all accounts, this regime did not produce a perfect safeguard against sprawl – ostensibly the reason for its existence – but it shifted the practices of regional actors in land use and transportation politics and changed the politics around densities. This regime, which was in place for roughly fifteen years and coterminous with the reign of the Liberal Party of Ontario, has now come to an end. A new provincial government under Doug Ford and the Progressive Conservative Party has begun to redraw regional boundaries, to change the discourse around planning and growth management, and to remake transportation policy.This paper will provide a brief history and assessment of the shifts in recent Ontario sprawl-management regimes and will attempt an early analysis of the consequences for regional governance in the Greater Golden Horseshoe region of Ontario. In order to highlight the cutting-edge dynamics and consequences of these variegated regional governance regimes, we will have a focus on the suburban municipality of Brampton in the Greater Toronto Area. Brampton has a particular socio-economic composition that has the ability to reflect the ongoing political processes and socio-economic relations pertaining to the transformation of land usage over the course of suburban development in the GTA. We will focus on the regional aspect of this peripheral expansion, its governance as well as its link to the housing market dynamics.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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