The role of housing and neighbourhood in the re‐settlement process: a case study of refugee households in Winnipeg
Bibliographic record
Abstract
Access to adequate, affordable housing is an essential first step in the re‐settlement process for immigrants and refugees. It is the basis from which newcomers look for jobs, language training and other services. Without such housing, newcomers may have limited security of tenure, compromised health, jeopardized education and employment opportunities and impaired social and family life. Refugees generally face the greatest challenges of all newcomers and find their housing choices constrained by many factors. This article presents the results of a study of refugee housing circumstances in Winnipeg. Key socio‐economic, housing and neighbourhood characteristics important to successful re‐settlement are documented and analyzed. The longitudinal nature of the study facilitates exploration of trajectories in a variety of indicators over time. The picture that emerges is one of the improving trajectories in many key indicators but also of very difficult circumstances that negatively affect the re‐settlement process and the effective integration of refugee households. The article ends with suggestions for policy and program changes that would improve the housing circumstances of newly arrived refugee households .
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".