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Chinese-Americans in the U.S., 1848-1979

2012· article· en· W1803892862 on OpenAlexvenueno aff
Lili Zhan, Xu Cao

Bibliographic record

VenueCanadian social science · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsChinatownImmigrationChinaChinese americansPower (physics)Gold rushHostilityChinese cultureClimaxChinese peoplePolitical scienceFirst generationHistoryGender studiesSociologyLawPsychologyDemographySocial psychology

Abstract

fetched live from OpenAlex

Attracted by gold rush, many immigrants from China began to enter the U.S to seek fortune in 1848. However, they received miserable treatment and experienced deep prejudices from native-born American whites. The anti- Chinese sentiment among the whites reached climax when the Chinese Exclusion Act was enacted in 1882. Further Chinese immigration was thus barred. In order to shun from outside hostility, the Chinese retreated to inner-city regions and developed the Chinatowns. Like most immigrants, Chinese-American parents also faced the problem of educating their children and helping them to adjust to the new culture while still keeping them clinging to their traditional Chinese culture. But the young generation was different from their parental generation. They wanted to get integrated into the host society and were more inclined to have their voices heard. In the 1970s, they launched the Yellow Power Movement to fi ght for equal rights. Key words: Immigrant; Anti-Chinese; Chinatown; Yellow power

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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.587
Threshold uncertainty score0.831

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.029
GPT teacher head0.321
Teacher spread0.292 · 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
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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