Restricted Access: The Role of Social Capital in Mitigating Absolute Homelessness among Immigrants and Refugees in the GVRD
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".