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Record W2044219886 · doi:10.1163/179325407788639768

Global Chinese Migrants and Performing Chineseness

2007· article· en· W2044219886 on OpenAlexaboutno aff
Edgar Wickberg

Bibliographic record

VenueJournal of Chinese Overseas · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismImmigrationEthnic groupIdentity (music)RhetoricAsian studiesGender studiesSociologyPresentation (obstetrics)PopulationChinaPolitical scienceAestheticsLawAnthropologyLinguisticsDemographyArt

Abstract

fetched live from OpenAlex

Abstract This essay treats “Chineseness” as a work in progress for ethnic Chinese new immigrants to Global Cities, one in which individuals and families create, maintain, and modify the Chineseness component of their identity as they adapt to environments of multicultural populations, including earlier ethnic Chinese migrants. It is argued that the forms of Chineseness chosen and presented to others must be acceptable to both other Chinese and the local population as a whole, while also satisfying the immigrants' own values and the heritage they hope to give to their children. Their choices and presentation must also deal with national and local classifications and stereotypes about them. The raw material for their choices and inventions comes from their own experience, that of friends and earlier migrants and, over the past several years, sites on the internet. Vancouver is used as the example. In the Vancouver case, Chinese new immigrants must deal with Canadian official multiculturalism and the usage of the label “visible minority” as well as the Vancouver rhetoric about the character of that city.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.394

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.022
GPT teacher head0.453
Teacher spread0.431 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations28
Published2007
Admission routes1
Has abstractyes

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