MétaCan
Menu
Back to cohort
Record W4407050623 · doi:10.1525/phr.2025.94.1.99

Review: <i>Performing Chinatown: Hollywood, Tourism, and the Making of a Chinese American Community</i>, by William Gow

2025· article· en· W4407050623 on OpenAlexaboutno aff
Selda Altan

Bibliographic record

VenuePacific Historical Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChinatownHollywoodTourismHistoryChinese americansAdvertisingGenealogyArt historyBusinessArchaeologyImmigration

Abstract

fetched live from OpenAlex

theme, or navigate the entries via an interactive map.Well-selected links take visitors to additional resources both within National Park Service webpages and beyond.Citations reference both primary sources and important secondary sources on each topic.While I might quibble with how some of the individual stories were organized by theme, each example is well constructed and together they argue compellingly that women built meaning in their ancestral or adopted homelands.Home and Homelands introduces unfamiliar stories.We learn about a Latina dying of childbirth on an overland trail moving north rather than west, a Tsimshian woman homesteader on the U.S.-Canadian borderlands, an African-American homesteader near Los Angeles, and a female missionary who feels more at home in a Hawaiian royal daughter's traditional hale than in her American husband's western-style adobe house.Objects related to white settler women tell stories of displacement and longing for other homes rather than the self-sacrificing homemakers celebrated in popular memory.Other objects tell stories not typically associated with western women.We learn about bohemian culture in Depression-Era San Francisco; the World War II Women's Overseas Shopping Service; Indigenous Chamorro women's wartime civilian incarceration in Saipan; and cultural persistence through kapa (bark cloth) making, language preservation, and oral tradition.Taken together, these object-based stories reveal the diversity of western women's experiences.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.218
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.320
Teacher spread0.307 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venuePacific Historical ReviewSame topicAsian Culture and Media StudiesFrench-language works237,207