Homelessness across Alaska, the Canadian North and Greenland: A Review of the Literature on a Developing Social Phenomenon in the Circumpolar North
Bibliographic record
Abstract
Over the past three decades, homelessness has become an area of significant social concern in Alaska, the Canadian North, and most recently, Greenland. These three geographical contexts show both similarities and contrasts, but no effort has yet been made to review the research literature on homelessness from these three regions or to highlight key themes or gaps in current knowledge. We reviewed the literature in order to 1) understand the current state of knowledge of the dynamics of homelessness in Alaska, the Canadian North (here including Yukon, Northwest Territories, and Nunavut), and Greenland and 2) conceptualize a northern geography of homelessness. The research literature identifies common themes across these contexts, which include chronic housing insecurity, overrepresentation of Indigenous peoples among those living homeless, and the significance of gendered experiences of homelessness. It identifies key interconnections between hidden homelessness and visible homelessness as the dynamics of urbanization in northern towns and cities reveal the social consequences of chronic housing insecurity in settlements. Across these northern regions, the high rates of chronic homelessness reflect the prevalence of northern housing insecurity and the lack of both adequate, appropriate support for people experiencing mental health or addiction problems and supportive or public housing options. Strategies that aim to diversify housing stock at various critical points along the housing spectrum are needed in northern regions, an idea that is promoted by Housing First and transitional housing programs in Alaska and the Canadian North.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.017 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".