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The Religious Composition of the Chinese Diaspora, Focusing on Canada

2012· article· en· W2050959364 on OpenAlexaffabout
Vegard Skirbekk, Éric Caron Malenfant, Stuart Gietel‐Basten, Marcin Stonawski

Bibliographic record

VenueJournal for the Scientific Study of Religion · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsDiasporaBuddhismChinaMainland ChinaGeographyCensusDemographySociologyGender studiesPopulationArchaeology

Abstract

fetched live from OpenAlex

The religious composition of the Chinese Diaspora varies by countries with the highest Christian share in the Philippines (86 percent) and the highest Buddhist share (84.3 percent) in Cambodia. The religiously unaffiliated are more likely found in Vietnam (74.7 percent), Canada (70.1 percent), and Austria (63 percent) and less likely found in the Philippines (0.6 percent) and Malaysia (1.5 percent). A further analysis of high‐quality Canadian census data allows for a more in‐depth focus. In 2001, 81 percent of the 125,000 Chinese migrants (those born in mainland China who had moved to Canada between 1996 and 2001) were unaffiliated, 11 percent were Christian, and 7 percent Buddhist. Relative to the topic of conversion, data on Chinese migrants admitted to Canada between 1981 and 1990 reveals growth in the proportion that self‐identified as religiously affiliated (Christian as well as Buddhist) and a decline in the proportion who reported no religion.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.404
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.301
Teacher spread0.281 · 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.

Study designNot applicable
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

Citations14
Published2012
Admission routes2
Has abstractyes

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