Suburban policy mobilities: examining North American post-war engagements with Vällingby, Stockholm
Bibliographic record
Abstract
This article calls for a detailed examination of the links between suburbia and the mobilization of policy knowledge. With suburbanization taking place across the world and the expanding literature on policy mobilities having little to say about the suburbs, this article begins to address this important gap in our collective understanding. It does this through a case study of Vällingby, a Stockholm suburb that captured the imagination of many planners and architects outside of Sweden during the 1950s and 1960s. Here the article considers the variegated ways in which planners and architects in North America engaged with Vällingby and used lessons learnt from Vällingby in their working practices. It focuses on the encounters with Vällingby by the New York-based architect Clarence Stein as well as those involved in the planning of the metropolitan Toronto suburb of Flemingdon Park. In so doing, the article demonstrates that suburbs are important sites within the circulation of policy knowledge and that audiences elsewhere engage with such sites in a multiplicity of ways. It also challenges a perception of the USA as an exporter and not an importer of suburban ideas and models.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".