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Race, Religion, and the Social Integration of New Immigrant Minorities in Canada

2009· article· en· W2078899092 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Migration Review · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsReligiosityEthnic groupImmigrationSocial integrationGeneral Social SurveySociologyRace (biology)Diversity (politics)AccommodationGender studiesSocial psychologyPolitical sciencePsychologySocial scienceAnthropologyLaw

Abstract

fetched live from OpenAlex

The social integration of Canada's new religious minorities is determined more by their racial minority status than by their religious affiliation or degree of religiosity, according to results from Statistics Canada's 2002 Ethnic Diversity Survey. Interview questions tap life satisfaction, affective ties to Canada, and participation in the wider community. Muslims, Sikhs, Buddhists, and Hindus are slower to integrate socially, mainly because they are mostly racial minorities. Degree of religiosity affects social integration in the same ways as ethnic community attachments in general, positively for some dimensions, negatively for others, and similarly for different religious groups. Patterns are similar in Quebec and the rest of Canada; results carry implications for the debate over “reasonable accommodation” of religious minorities in Quebec, and parallel debates in other provinces and countries.

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.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.304
Teacher spread0.290 · 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