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Record W4416943043 · doi:10.1080/1088937x.2025.2592134

No room in the North: housing scarcity as infrastructure’s failed relations in the Arctic

2025· article· en· W4416943043 on OpenAlexaboutno aff
Katrin Schmid, R. Adams

Bibliographic record

VenuePolar Geography · 2025
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
FundersEuropean Research Council
KeywordsScarcityFraming (construction)ArcticSustainabilityCorporate governancePoliticsSituatedSocial relationDominance (genetics)

Abstract

fetched live from OpenAlex

This article examines the entanglements of housing infrastructure, economic structures, and social relations in Arctic regions, focusing on Nunavut (Canada) and Malmfälten (Sweden). Using a comparative ethnographic approach, we explore how housing scarcity is shaped not only by physical infrastructure but by broader political and economic forces. Drawing on thematic content analysis and an infrastructural relations framework, we highlight how capitalist logics, demographic shifts, and governance structures contribute to ongoing housing crises. Rather than viewing infrastructure as a static entity, we adopt a relational perspective that emphasizes the reciprocal dynamics between housing, social networks, and state policies. Our findings suggest that housing scarcity in the Arctic is not merely a consequence of remoteness or material limitations but a product of structural neglect, economic disincentives, and governance complexities. By framing infrastructure as a site of contested relations rather than a neutral technical system, we argue that addressing Arctic housing challenges requires not only increased investment but a fundamental rethinking of infrastructural governance, social responsibility, and sustainability in northern communities.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
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 head0.013
GPT teacher head0.315
Teacher spread0.302 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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