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Record W2329217077 · doi:10.1093/ahr/121.2.574

Elliott Young.<i>Alien Nation: Chinese Migration in the Americas from the Coolie Era through World War II</i>.

2016· article· en· W2329217077 on OpenAlexaboutno aff
Charlotte Brooks

Bibliographic record

VenueThe American Historical Review · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationWestern hemisphereAlienHistoryGovernment (linguistics)State (computer science)World War IIPolitical scienceEconomic historyDevelopment economicsEthnologyPoliticsLawCitizenship

Abstract

fetched live from OpenAlex

Elliott Young’s agenda in Alien Nation: Chinese Migration in the Americas from the Coolie Era through World War II is commendably ambitious. He seeks to offer a transnational understanding of one hundred years of Chinese immigration to the Western Hemisphere, especially the U.S., Canada, Mexico, Cuba, and Peru; to illuminate transnational smuggling networks and migration routes; to explain the simultaneous and linked rise of the “illegal alien” and the nation-state; and to give voice to Chinese migrants and the communities they created under incredible pressure across North and South America. The book does not succeed in achieving all these goals, for it ultimately proves more adept at describing government responses to Chinese migration than at exploring the lives of the migrants themselves. However, Young’s study does provide a fascinating new window into the mechanics of immigration control across the Americas. Alien Nation begins in the mid-nineteenth century, when Chinese laborers from the stumbling Qing dynasty began to stream from the ports of Hong Kong and Macao into Cuba, Peru, the U.S., and other parts of the Western Hemisphere. Often reviled as “coolies,” they and the conditions in which they traveled, worked, and contracted their services prompted considerable consternation across the Americas. Officials and other participants in ongoing and increasingly bitter international debates about slavery used the Chinese migrants as examples of both free labor and slavery and fought over the need to reform the “coolie trade.” With the late-nineteenth-century decline of slavery in the Western Hemisphere, the debate shifted somewhat; government authorities in China, the U.S., Britain, Spain, Mexico, Peru, Cuba, and Canada began to argue heatedly about whether Chinese “coolie” labor was in fact a continuation of slavery or a symbol of free labor. Meanwhile, the potent anti-Chinese movement that emerged in the post–Civil War U.S. shaped immigration law there and compelled lawmakers to press other countries to cooperate with America’s exclusionist priorities. By the early twentieth century, Canada and Mexico both complied, particularly because anti-Chinese sentiment was rising within their own nations; still, corruption and long borders also meant continued Chinese immigration into the U.S. from the two countries and from Cuba. Simultaneously, the growth of anti-Chinese sentiment across the Western Hemisphere affected how Chinese migrants throughout the region organized politically and socially in the period between 1900 and the 1930s. The book concludes by linking the plight of the pre–World War II Chinese to current migrant waves.

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)0.000
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.129
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.002
Scholarly communication0.0030.005
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.036
GPT teacher head0.263
Teacher spread0.227 · 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
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
Published2016
Admission routes1
Has abstractyes

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