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Record W2773416262 · doi:10.14430/arctic4680

Homelessness across Alaska, the Canadian North and Greenland: A Review of the Literature on a Developing Social Phenomenon in the Circumpolar North

2017· review· en· W2773416262 on OpenAlexaffvenueabout
Julia Christensen, Steven Arnfjord, Sally Carraher, Travis Hedwig

Bibliographic record

VenueARCTIC · 2017
Typereview
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsCircumpolar starIndigenousGeographyHuman settlementUrbanizationPolitical scienceEconomic growthDevelopment economicsEcology

Abstract

fetched live from OpenAlex

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.877
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0110.000
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 head0.119
GPT teacher head0.432
Teacher spread0.313 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations19
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueARCTICSame topicIndigenous Studies and EcologyFrench-language works237,207