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Record W2120313503

The Bulldozer in the Countryside: Suburban Sprawl and the Rise of American Environmentalism . By Adam Rose. Cambridge and New York: Cambridge University Press, 2001. Pp. xvi, 299. $54.95.

2002· article· en· W2120313503 on OpenAlexaboutno aff
Kim McQuaid

Bibliographic record

VenueThe Journal of Economic History · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsGreat DepressionQuarter (Canadian coin)Economic historyUnderwritingUrban sprawlAgricultural economicsPolitical scienceEconomyGeographyHistoryEconomicsFinanceLawUrban planningArchaeologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

After World War II, national homebuilding patterns changed decisively. Massive demand for housing existed after 16 years of depression and war. Postwar changes in housing finance and construction met that demand. Federal agencies guaranteed mortgages on 40 to 50 percent of all homes built in the 1950s. By 1970 half of all single-family home mortgages in the United States were federally underwritten. Builders flourished as down payments declined. They bought tracts of hundreds or thousands of acres and used new modular mass-production techniques to construct large residential subdivisions. One-quarter of the 60 million housing units of 1960 were built in the 1950s. Home owners surged from 40 to almost 70 percent of total households. America became a society where suburban home ownership was a key badge of “middle class” status.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.010
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.163
Teacher spread0.151 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations0
Published2002
Admission routes1
Has abstractyes

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