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Record W2097266463 · doi:10.1177/0042098008094873

The Immigrant Church as an Urban Service Hub

2008· article· en· W2097266463 on OpenAlexaffabout
David Ley

Bibliographic record

VenueUrban Studies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsImmigrationEthnic groupGermanSocial capitalSociologyPolitical sciencePublic relationsGender studiesEconomic growthLawSocial scienceEconomicsGeography

Abstract

fetched live from OpenAlex

This paper draws from interviews conducted with leaders of 46 immigrant Christian churches in Vancouver. The congregations comprise newcomers from Korea, ethnic Chinese who are primarily recent immigrants and an older post-1945 German migration. The churches are identified as a hub in which relations of trust and compatibility generate bonding social capital; from this base, a wide range of personal and social services is provided, significantly aiding co-ethnic members to adapt to their new conditions. In a neo-liberal era, the state is facilitating such activities as part of a policy of contracting-out its own former in-house functions. The capacity of the immigrant church to serve both its own members and adherents and also a broader expanded constituency beyond its co-ethnic clients is important. The paper examines the activities of some of the churches in this transition from bonding to bridging social capital and the challenges that they confront.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.004
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.001
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 head0.060
GPT teacher head0.322
Teacher spread0.262 · 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

Citations146
Published2008
Admission routes2
Has abstractyes

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