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Christianity among Transnational Chinese: Religious versus (Sub)ethnic Affiliation

2005· article· en· W2124583963 on OpenAlexaffabout
Judith Nagata

Bibliographic record

VenueInternational Migration · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsYork University
Fundersnot available
KeywordsChinaEvangelismEthnic groupDiasporaChristianityGender studiesSociologyIndonesianIdentity (music)MulticulturalismImmigrationPolitical scienceReligious studiesLawAnthropologyAesthetics

Abstract

fetched live from OpenAlex

ABSTRACT The approximately 5 per cent of the diaspora Chinese who are Christian are faced with the question as to whether religious or sectarian affiliation takes priority over Chinese unity or sub‐Chinese identity. For many, the solution is to form (sub)ethnic congregations, and the issue is how far and how fast they (especially younger members) should “assimilate” linguistically and socially to Anglo‐Canadian or other local styles in the host country. One response is the formation of a pan‐Chinese transnational Christian organization, the Chinese Coordination Centre for World Evangelism (CCCOWE), whose mission attempts to unite Chinese of all subethnicities, reach Chinese in remote areas, control and manage existing congregations everywhere, and resist local assimilation. Although claiming to represent all Chinese, in fact, CCCOWE began as a Cantonese‐medium movement in Hong Kong Special Administrative Region of China (hereinafter Hong Kong), but is now coming to terms with Chinese Christians from other parts of Asia, as well as with the inevitable localization/anglicization of congregations. Some churches refuse to associate with CCCOWE for dislike of Hong Kong, others due to preference for their own language (Indonesian), or birth place (Malaysia/Singapore). Thus, in some cases, subethnicity is subordinated to religious (Christian) identity across the world, in others, to a pan‐Chinese religious membership, while for many, religion continues to follow subethnic lines, variously defined by language or birth place.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.024
GPT teacher head0.336
Teacher spread0.312 · 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 designQualitative
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

Citations32
Published2005
Admission routes2
Has abstractyes

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