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Record W1981820384 · doi:10.1177/0096144214536857

L.A.’s Invisible Freeway Revolt

2014· article· en· W1981820384 on OpenAlexaboutno aff
Eric Avila

Bibliographic record

VenueJournal of Urban History · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsOpposition (politics)PoliticsInjusticeWhite (mutation)Quarter (Canadian coin)SociologyPolitical scienceCriminologyPolitical economyLawHistoryArchaeology

Abstract

fetched live from OpenAlex

Existing accounts of the politics of fighting freeways during the age of the Interstate largely describes the victories of white affluent urban neighborhoods that successfully mustered local opposition to urban highway construction. Popular understandings of the “freeway revolt” thus remain limited to places like Beverly Hills, CA, Cambridge, MA, Lower Manhattan, and New Orleans’s French Quarter. Yet a close examination of cultural expression from urban minority communities, like the Chicano barrio of East Los Angeles for example, reveals a more pervasive and sharper critique of building freeways in the city. Losers, perhaps, in the fight against the freeway, city people of color nonetheless voiced specific grievances against highway construction through art, literature, and other forms of creative production. Herein lies another freeway revolt, which inspires local opposition to subsequent forms of spatial injustice in the inner city.

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)0.003
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 score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0150.013
Scholarly communication0.0100.004
Open science0.0010.004
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0120.002

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 head0.011
GPT teacher head0.166
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 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

Citations24
Published2014
Admission routes1
Has abstractyes

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