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Record W2615841508 · doi:10.4324/9780203084779-7

Introduction: Sprawl and the Ideology of Nature

2013· book-chapter· en· W2615841508 on OpenAlexaboutno aff
LAURA TAYLOR AND KIRSTEN VALENTINE CADIEUX

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsUrban sprawlIdeologySociologyPolitical scienceEngineeringLawPoliticsCivil engineeringUrban planning

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0040.003
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0210.005

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.

Opus teacher head0.003
GPT teacher head0.157
Teacher spread0.155 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreReview

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".

Quick stats

Citations6
Published2013
Admission routes1
Has abstractyes

Explore more

Same topicAmerican Environmental and Regional HistoryFrench-language works237,207