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Record W4394820585 · doi:10.1080/14036096.2024.2341840

Housing Vulnerability Reconsidered: Applications and Implications for Housing Research, Policy and Practice

2024· article· en· W4394820585 on OpenAlexafffund
Yushu Zhu, Meg Holden, Rebecca Schiff

Bibliographic record

VenueHousing Theory and Society · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Northern British ColumbiaSimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsVulnerability (computing)Variety (cybernetics)Public housingSociologyPsychological interventionEconomic growthPolitical sciencePublic relationsEconomicsPsychology

Abstract

fetched live from OpenAlex

Social housing policies in neoliberal contexts have become residualized. The notions of housing vulnerability and vulnerable populations emerged as a new organizing principle for the housing policy agenda and interventions in many countries. However, there is no cohesive and shared understanding of the characteristics and types of vulnerable households and housing situations, nor the drivers and consequences of different forms of vulnerability. This leads to questions about how to apply the concept to address people's right to housing. This special issue presents research into what housing vulnerability means in different world regions, what structures and systems may be driving it, and the variety of experiences of housing vulnerability. These studies use different theoretical frameworks, methodologies, and empirical contexts to examine factors and initiatives that drive or counter housing vulnerability, fostering a dialogue towards critical housing research and policy agendas that meet our expectations of housing as a human right.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.104
GPT teacher head0.364
Teacher spread0.260 · 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

Citations11
Published2024
Admission routes2
Has abstractyes

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