“They want a different life”: Rural northern settlement dynamics and pathways to homelessness in Yellowknife and Inuvik, Northwest Territories
Bibliographic record
Abstract
Visible homelessness in the Northwest Territories, Canada is often described as a recent phenomenon by policy makers and the popular media alike. Indeed, since the late 1990s, homeless shelters in Yellowknife and Inuvik report a steady increase in demand for beds and other support for homeless people. Homelessness in these two communities disproportionately affects Aboriginal northerners, however little is known about their individual pathways to homelessness. Moreover, homelessness in the Northwest Territories is often portrayed as an issue confined to larger “urbanizing” regional centres, yet many homeless Aboriginal northerners have originated from small, rural settlement communities. Despite this, little concern has been paid to how factors at the small community level intersect with more visible forms of homelessness in larger, urban centres, not to mention how these intersections shape a territorial geography of homelessness. In this article, I aim to uncover and explore the often hidden factors at the northern rural settlement level that ultimately contribute to more visible forms of homelessness in northern urban centres. I suggest that uneven and fragmented social, institutional, and economic geographies result in a unique landscape of vulnerability to homelessness in the Northwest Territories. This geography emerges through the production of particular dynamics between rural settlement communities and northern urban centres. In particular, four main factors represent these rural‐urban dynamics: 1) the attractions of opportunity in northern urban centres; 2) rural settlement‐urban institutional flows; 3) chronic housing need in the settlements; and, 4) disintegrating social relationships in the settlements. I explore the particular ways in which these factors influence rural‐urban migration among the homeless population and what roles this mobility plays in individual pathways to homelessness.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".