Bibliographic record
Abstract
How cities grow is set to change. In the Greater Toronto Area, both Ontario’s Greenbelt Plan and Growth Plan for the Golden Greater Horseshoe are set to have a significant impact on how and where urban growth will occur in the near future. Since 2006 the Greenbelt Plan has protected the Greenbelt, a 1.8 million acre urban growth boundary of sensitive and agricultural land, from urban development. Forming a containment ring around the Greater Toronto Area, the Greenbelt leaves a finite amount of easily developable greenfield land within its inner ring: an area known as the Whitebelt. As the Whitebelt becomes depleted, change in the location and manner of accommodating urban growth will need to be adapted. In support of the Greenbelt Plan, Ontario’s Growth Plan set a benchmark requiring that 40% of all future residential growth intensify existing urban areas advocating that development occur in a manner that creates self-sufficient and complete communities. Investigations by the Neptis Foundation reveal that consolidating intensification around high-order transit areas is a beneficial scenario to accommodate such growth. Aiding this, recent transit infrastructure investments by the Ontario Government will offer more opportunities for transit-orientated intensification. \n\tThe identification of potential intensification sites led to the selection of Scarborough’s Golden Mile as a case study site. Redeveloping this district into a dense, activated, transit-supportive and pedestrian-orientated urban area that not only accommodates population and employment densities, but also one that accommodates a mix of dwelling types, jobs, stores, and institutions in the support of the daily life of a diverse and complete community required the analysis of the site’s conditions, its applicable official policies, and an investigation into the potential treatment of its streets, blocks, and architecture. Together the policies, site conditions, and urban studies would develop the guiding principles for the case study site’s reurbanization. \n\tTransformation of the case study site depended upon the successful redevelopment of Eglinton Avenue: the area’s social nerve. Acting as both street and place, the Avenue’s redevelopment required an appropriate mix of different modes of transit, the ability to accommodate a variety of urban functions, the development of suitable architecture and urban spaces, and the promotion of an activated street life. The Avenue’s blocks, currently large commercial and industrial superblocks, were reduced and repurposed to support a mix of land-uses and architectural types aiming to create a more attractive pedestrian-orientated district. \n\tUsing a consolidated intensification scenario, this thesis investigates how future intensification sites could be redeveloped into complete communities. By reurbanizing a case study site, it transforms policies into a potential urban form allowing for a more critical analysis of the opportunities, issues, and possibilities provided by this manner of growth.
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.
How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 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 | 0.000 |
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 teacher head, 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".