MétaCan
Menu
Back to cohort
Record W1503834770 · doi:10.25071/1920-7336.21372

Restricted Access: The Role of Social Capital in Mitigating Absolute Homelessness among Immigrants and Refugees in the GVRD

2007· article· en· W1503834770 on OpenAlexaffvenueabout
Silvia D’Addario, Dan Hiebert, Kathy Sherrell

Bibliographic record

VenueRefuge Canada s Journal on Refuge · 2007
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsCentre for Interdisciplinary Research in RehabilitationUniversity of British ColumbiaYork University
Fundersnot available
KeywordsRefugeeImmigrationSocial capitalStock (firearms)Demographic economicsPolitical scienceSociologyEconomic growthEconomicsGeographyLaw

Abstract

fetched live from OpenAlex

The housing patterns of newcomers mark a primary indicator for their successful integration. However, different groups of people have varied access to the stock of housing in Canada. The purpose of this paper is to examine the role that social capital plays in housing trajectories of immigrants with particular attention to the experiences of refugee claimants. In this paper we draw upon the results of a 2004–2005 study on the profile of absolute and relative homelessness among immigrants, refugees, and refugee claimants in the Greater Vancouver Regional District (GVRD). We highlight the importance of social networks in the housing careers of newcomers, and argue that access to social networks varies according to the mode of entry for immigrants (e.g., skilled immigrants vs. refugees). We find that refugee claimants are particularly vulnerable, given their combination of uncertain legal status, lack of official language ability, and unfamiliarity with Canadian society. They are the most likely of all newcomers to “fall between the cracks” of the housing system. We discuss the benefits of social capital for immigrants and refugees, especially the key role that social capital plays in the integration process.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.744
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.018
GPT teacher head0.350
Teacher spread0.332 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations36
Published2007
Admission routes3
Has abstractyes

Explore more

Same venueRefuge Canada s Journal on RefugeSame topicHomelessness and Social IssuesFrench-language works237,207