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Record W1968075849 · doi:10.1080/15313200802258125

Social Capital and Ethno-Cultural Diverse Immigrants: A Canadian Study on Settlement House and Social Integration

2008· article· en· W1968075849 on OpenAlexaffabout
Miu Chung Yan, Sean Lauer

Bibliographic record

VenueJournal of Ethnic & Cultural Diversity in Social Work · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSettlement (finance)ImmigrationSocial capitalInterpersonal tiesEconomic growthCapital cityCommunity centerSociologyBridging (networking)GeographyPolitical scienceSocioeconomicsEconomic geographySocial scienceArchaeologyBusiness

Abstract

fetched live from OpenAlex

ABSTRACT With ethno-culturally diverse immigrants arriving in constantly increasing numbers, connecting newcomers to residents in the local community is a growing challenge. Settlement houses have traditionally been the “machinery of connection” that bridges such diverse groups. This article reports the results of a study on settlement houses in an urban center located in western Canada. The results show that by embracing bridging as their mission, promoting volunteering, and providing holistic services to meet needs, settlement houses have successfully helped newcomers build cross-group social ties and integrate into the community.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.112
GPT teacher head0.344
Teacher spread0.233 · 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 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

Citations22
Published2008
Admission routes2
Has abstractyes

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