For Generations to Come : a sustainable child-oriented suburban future
Bibliographic record
Abstract
Suburbia is a rich cultural landscape with woven fabrics of form and its own cultural identities distinct from metropolitan form necessitating distinct child-friendly sustainable urbanization. Suburbs in Canada are experiencing rapid growth, driven in large part by families with children and mandated by growth policies. In response the Ontario government has proposed a strategy of vertical growth through the construction of super tall towers around major transit stations, while largely maintaining existing residential neighborhoods. Although this approach may promote a more sustainable, transit-oriented lifestyle around transit stations, it fails to address the ongoing sustainability challenges of existing suburbs, which continue to produce higher emissions each year. Moreover, the environmental impact associated with constructing tall towers and the factors driving suburban settlement, particularly the needs of children, remain unaddressed. This project asserts that the future of sustainable suburban growth requires an understanding of suburbia’s cultural richness and a shared commitment to childhood values, manifested through a uniquely child-friendly design. This design should strategically adapt existing neighborhoods to cater to the needs of families, promoting sustainability and growth. The project report embarks on a comprehensive exploration of existing suburbs, delving into mini-essays on suburbia and society, suburbia and children, and suburbia and sustainability. It summarizes various suburban typologies, as developed by Dolores Hayden, before narrowing its focus to the Census Metropolitan Area of Toronto, pinpointing the South-East Oakville region as the project site. The design narrative unfolds as a storybook, recounting the rationale for returning to the suburbs and reflecting on past childhood experiences in suburban settings. These reflections inform the creation of a community-oriented mixed-use plan, centered around the well-being and development of children.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".