Review: <i>Resisting Change in Suburbia: Asian Immigrants and Frontier Nostalgia in L.A.</i>, by James Zarsadiaz
Bibliographic record
Abstract
Book Review| August 01 2023 Review: Resisting Change in Suburbia: Asian Immigrants and Frontier Nostalgia in L.A., by James Zarsadiaz James Zarsadiaz. Resisting Change in Suburbia: Asian Immigrants and Frontier Nostalgia in L.A. Oakland: University of California Press, 2022. 306 pp. Illustrations. Paperback $29.95. Lisa Tran Lisa Tran LISA TRAN is a professor of history at California State University, Fullerton, where she teaches courses on China and the Chinese diaspora. She currently serves as chair of the History Department and coordinator of the Asian Studies Program. She is the author of Concubines in Court: Marriage and Monogamy in Twentieth-Century China (2015). Her current project focuses on the refugees who left Vietnam in the late 1970s and resettled in the United States, Canada, Australia, and New Zealand. lisatran@fullerton.edu Search for other works by this author on: This Site PubMed Google Scholar lisatran@fullerton.edu California History (2023) 100 (3): 119–121. https://doi.org/10.1525/ch.2023.100.3.119 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Lisa Tran; Review: Resisting Change in Suburbia: Asian Immigrants and Frontier Nostalgia in L.A., by James Zarsadiaz. California History 1 August 2023; 100 (3): 119–121. doi: https://doi.org/10.1525/ch.2023.100.3.119 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentCalifornia History Search A sprawling metropolitan area encompassing diverse communities, Los Angeles has long drawn scholarly attention. Resisting Change in Suburbia: Asian Immigrants and Frontier Nostalgia in L.A. joins a growing number of works that explore L.A.’s suburbs. Zooming in on the eastern portions of the San Gabriel Valley, which have often been overlooked in discussions of the region, James Zarsadiaz analyzes how the trope of the frontier shaped cultural imaginaries and local politics during periods of rapid development that have reconfigured the spatial, demographic, and political profile of East San Gabriel Valley since the 1980s. For residents alarmed by the nature and pace of these changes, the frontier symbolized a time and place that was better than the present. Zarsadiaz describes this frontier nostalgia as “a unifying set of motives shaping how residents forged relationships and engaged with the politics of race, space, and change” (48). Although “frontier nostalgia” is spotlighted... You do not currently have access to this content.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.027 | 0.013 |
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 source (direct Gemma or distilled Codex), 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".