Bibliographic record
Abstract
This commentary addresses the evolution of the North American suburb over the last 70 years, a period over which it adopted a development pattern marking a radical break from prior forms of urban settlement. Early in this period, the emerging suburban form constituted perhaps the sharpest transition in the history of urbanism in terms of urban form and transportation. This suburban form rapidly came to dominate North American metropolitan regions and spread to other parts of the world. In this commentary, I propose a brief history of the North American suburb since the late 1940s seen through the lens of the contributions it made to the evolution of urbanism across the continent. I contend that while suburbs are often associated with urban stasis, because perceived as an impediment to the emergence of new environmentally sensitive and socially and functionally integrated urban formulas relying on public transit and walking, they have played a major transformative role in the past and may be the source of further urban transitions in the future. North American suburbs have also undergone deep social changes over the last decades. However, I question the claim, made by some researchers, that we are entering a post-suburban era; but at the same time, I acknowledge the possibility of major future innovations within present suburban configurations.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".