Bibliographic record
Abstract
The historically white postwar suburbs of the United States and Canada are now the first destination for new residents from abroad. Because they are relatively safe, affordable, and, as they became ethnic enclaves, culturally familiar, these peripheral communities, have gradually replaced the center city as the desired landing place for new arrivals. Using scholarly and popular literature with empirical field observation, this paper examines a set of aging postwar suburbs in California and one in Arizona to illustrate the largely positive effects of such immigration. In addition to an injection of diverse and energized cultures, the changes can point towards a set of materially strategic options for renewing all aging low density-built environments. Such cultural shifts are an opportunity to imagine a socially healthy, though repurposed, and spatially altered, future for all aging urban peripheries. Finally, regarding the development of a productive architectural and urban discourse on the subject, it is vital to note that the current nascent transformation in aging postwar environments is common to that of many cities and settlements throughout history. More specific to the case of renewal of postwar sprawl with its’ increase in the density of social interaction, the current ethnic changes to the settlement pattern often make the largely private built environments of Anglo-American suburbs more “urban” and in the process reveal a more nuanced definition of this term.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".