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“They want a different life”: Rural northern settlement dynamics and pathways to homelessness in Yellowknife and Inuvik, Northwest Territories

2012· article· en· W1898560359 on OpenAlexfundvenueaboutno aff
Julia Christensen

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2012
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
FundersIndigenous and Northern Affairs Canada
KeywordsHuman settlementSettlement (finance)Rural settlementGeographyRural areaVulnerability (computing)Economic geographyEconomic growthPolitical scienceArchaeologyBusiness

Abstract

fetched live from OpenAlex

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.235
Teacher spread0.225 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations44
Published2012
Admission routes3
Has abstractyes

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