Planning the Barrio: Racial Order and Restructuring in Neoliberal Los Angeles
Bibliographic record
Abstract
Scholarship examining the legacy of early twentieth-century zoning and real estate practices on present-day urban landscapes has provided significant insight into the ways public officials appraised communities of color at the national and city scale. However, less is known about how local policy makers evaluated communities of color through the social movements of the 1970s and austerity policies of the 1980s. Analyzing Los Angeles City planning and administrative archives from the 1970s to 1990s, I assess how local policy makers arrived at regarding historically racialized and disinvested places such as Boyle Heights as potential sites of investment during the last quarter of the twentieth century. I find that city policy makers briefly categorized Boyle Heights as fit for preservation grounded in its socioracial composition and, later, designated the barrio as ancillary to intensifying efforts to revitalize downtown. Following the evolution of appraisals of land use during this period of transformation historicizes contemporary gentrification processes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".