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Remaking the American Dream

2022· book· en· W4312089285 on OpenAlexaboutno aff
Vinit Mukhija

Bibliographic record

VenueThe MIT Press eBooks · 2022
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsnot available
Fundersnot available
KeywordsDreamNothingPsycheUrbanismSociologyPolitical scienceGeographyPsychologyArchaeologyPsychoanalysisArchitecture

Abstract

fetched live from OpenAlex

The redefinition of the single-family house, the urban landscape, and the American Dream. Sitting squarely at the center of the American Dream, the detached single-family home has long been the basic building block of most US cities. In Remaking the American Dream, Vinit Mukhija considers how this is changing, in both the American psyche and the urban landscape. In defiance of long-held norms and standards, single-family housing is slowly but significantly transforming through incremental additions of second and third units. Drawing on empirical evidence of informal and formal changes, Remaking the American Dream documents homeowners' quiet unpermitted modifications, conversions, and workarounds, as well as gradual institutional alterations to once-rigid local land-use regulations. Mukhija's primary case study is Los Angeles and the role played by the State of California—findings he contrasts with the experience of other cities including Santa Cruz, Seattle, Portland, Minneapolis, and Vancouver. In each instance, he shows how, and asks why, homeowners are adapting their homes and governments are changing the rules that regulate single-family housing to allow for accessory dwelling units (ADUs) or second units. Key to Mukhija's research is the question of why the idea of single-family living is changing and what this means for the future of US cities. The answer, this book suggests, heralds nothing less than a redefinition of American urbanism—and the American Dream.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.857
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.047
GPT teacher head0.231
Teacher spread0.185 · 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
GenreOther

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

Citations13
Published2022
Admission routes1
Has abstractyes

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