Introduction: Sprawl and the Ideology of Nature
Bibliographic record
Abstract
This book is about the role of nature in the production of sprawl. Nature is everywhere in cities, but often does not feel as present in the city as it does in “natural” landscapes of woods, hills, beaches, or grasslands outside of the city. A home in natural settings like these, somewhere beyond the city, has many quality of life advantages. But a collection of many such homes-sprawl-is highly problematic for reasons of environmental and social justice. This book explores ways that sprawl is a product (i.e. literally produced by) the ideology of nature. The ideology of nature, the taken-forgranted notion that escaping to nature is a good thing, is one of the reasons why sprawl is so typical of contemporary urbanization, particularly in the United States and Canada. The chapters in this book decode the landscape of sprawl, drawing on several diff erent perspectives-including urban design and landscape planning, geography, history, literature, and journalism-to explore what an examination of the eff ects of ideologies of nature can tell us about sprawl.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.010 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.056 | 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; 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".