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Record W4414427431 · doi:10.5206/ijoh.2023.3.22901

Beyond Shelters: Unpacking Global Lessons from Scotland’s Journey Towards Housing Justice

2025· article· en· W4414427431 on OpenAlexvenueno aff
Beth Watts-Cobbe, Suzanne Fitzpatrick, Lynne McMordie

Bibliographic record

VenueInternational Journal on Homelessness · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticeAccommodationClosure (psychology)UnpackingPublic policyScale (ratio)Key (lock)Sustainability

Abstract

fetched live from OpenAlex

Globally, shelters dominate accommodation-based responses to homelessness, offering dormitory-style ‘shared air’ accommodation at a significant scale in many cities, with specific rules on length of stay, curfews, and behaviour. Despite their widespread use, shelters are associated with negative experiences and a range of harms. Based on this evidence, this paper argues that reducing shelter use in favour of less damaging alternatives is necessary to the pursuit of housing justice, by which we mean minimising housing-related harms to the very worst off. The paper’s key contribution is to demonstrate that ending shelter use is an achievable policy goal, as demonstrated in Scotland, where a shelter-free response to homelessness was in operation from 2020 to 2024. Drawing on data from a longitudinal study of trends in and responses to homelessness across Great Britain, we identify the factors that enabled the closure of shelters in response to the coronavirus (COVID-19) pandemic - including Scotland’s comparatively low levels of rough sleeping - and the immediate steps that were taken to do so. We also assess the sustainability of Scotland maintaining a shelter-free homelessness response and key risks to it, including rising demand, gaps in provision, and public opinion/community action. The paper closes with a discussion of the implications for homelessness policy and practice globally and the potential for a paradigm shift away from shelter-based responses.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.039
GPT teacher head0.306
Teacher spread0.267 · 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 designTheoretical or conceptual
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

Explore more

Same venueInternational Journal on HomelessnessSame topicHousing, Finance, and NeoliberalismFrench-language works237,207