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Record W2764278054 · doi:10.1525/ch.2016.93.2.17

Victorian Sprawl

2016· article· en· W2764278054 on OpenAlexaboutno aff
Eric Stewart

Bibliographic record

VenueCalifornia History · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsUrban sprawlSuburbanizationGeographyHistoryEconomic geographyQuarter (Canadian coin)Urban planningEconomic historyEconomyPolitical scienceArchaeologyCivil engineeringEngineeringMetropolitan areaEconomics

Abstract

fetched live from OpenAlex

Beginning in the 1880s, transportation innovations allowed the City of Los Angeles to expand past natural barriers and develop the vast land beyond the city's core. The cable car and the electric trolley aided the expression of a Victorian residential ideal and urban aesthetic imported into Los Angeles from “back East” and the Midwest. Streetcar suburbs, the earliest form of urban flight, emerged on what were then the outer fringes of the city, initiating perpetual sprawl. While the city's massive growth in the 1920s as well as extensive post–World War II suburbanization cannot be ignored, such development has obscured the much earlier origins of sprawl in the historiography. This paper argues that Victorian Los Angeles instituted trends aimed at low-density, outward growth, which the streetcar enabled, Progressive planners reinforced, and which bore many of the drawbacks associated with modern urban 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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.345
Threshold uncertainty score0.687

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.007
GPT teacher head0.165
Teacher spread0.158 · 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 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

Citations2
Published2016
Admission routes1
Has abstractyes

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