The Intermodal Metropolis: Spatial Protocols at the Convergence of Regional Mobility Networks
Bibliographic record
Abstract
Suburban Centres were established in the Toronto region as the population dispersed beyond the city’s borders. Intended as a set of delivery points for municipal services and concentrations of commercial and social program serving local suburban residents, government policy and market forces are now encouraging these centres to accumulate a greater range of program, and absorb a significant share of population growth. They have a mandate to orient new residents toward improved public transit routes as a relief for overburdened road infrastructure, but their fundamental role as a suburban downtown requires continued accessibility by car. \n \nThe structure of the suburbs is fixed, dominated by the car as the primary element of an extensive mobility system that has generated its own spatial protocols and building typologies. The morphology of older urban areas was developed in response to the parameters of streetcar service and human abilities, and also shows a resistance to change. The two mobility systems co-exist, each with their own associated territories, creating an intermodal metropolis. In suburban centres, the intensive urban mobility extends into the reach of the suburban territory, creating a threshold condition that requires a hybrid morphology to serve both. \n \nThe design adopts Scarborough Centre as a test site, proposing a morphology that accommodates urban and suburban mobility by embracing the suburban planning paradigm that separates vehicle traffic from public space. The interaction between the two networks is managed to create variations in accessibility characteristics that determine programmatic distribution. The public realm is compartmentalized into differentiated spaces that support a highly permeable pedestrian network integrated with the central transit station. The proposal allows Scarborough Centre to expand its public space network without compromising its function as a highly accessible suburban downtown.
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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".