The materiality of urbanization: Politics, regions, and networks in the work of Roger Keil
Bibliographic record
Abstract
Roger Keil is widely recognized as a leading scholar of global suburbanism, infectious disease, and (sub-)urbanization. Over the last two decades, his work has generated a substantial body of scholarship and helped build an international research community around these themes. This article traces the intellectual continuities that animate Keil's evolving research and publishing practice. While his wide-ranging contributions have been central to shaping the field of Urban Political Ecology, a single conceptual claim runs through his work since the late 1980s: the idea that globalizing capitalism is best understood through the networked materialities of urbanization, which mediate social relations with nature in the modern world. We follow the development of this claim from his early work on urban politics in Frankfurt, Los Angeles, and Toronto in the 1990s to his more recent engagements with suburbanization and infectious disease. Structured around the themes of politics, regions, and networks, this article foregrounds Keil's critical and enduring project: to bring our understanding of capitalist globalization down to earth to the level of urbanization rather than treating it as a reified force acting from above.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.051 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".