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Record W4416926488 · doi:10.36939/cjur/vol33no1/art427

Homelessness and housing insecurity among im/migrants in Canada: A scoping review

2024· article· W4416926488 on OpenAlexafffundvenueabout
Russell De la Calzada-Calugay, Jill Hanley

Bibliographic record

VenueCanadian journal of urban research · 2024
Typearticle
Language
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaMcGill University
KeywordsContext (archaeology)Housing FirstHousing tenurePovertyPublic housing

Abstract

fetched live from OpenAlex

While housing insecurity has been a concern for im/migrant households for decades, it is only relatively recent that im/migrant homelessness has emerged as a growing problem. This article presents the results of a scoping review of 52 published Canadian studies on housing insecurity and homelessness among im/migrants. Findings confirm that im/migrant experiences of housing insecurity must be understood intersectionally, with social location, discrimination, health, cultural and family considerations playing into housing outcomes. In terms of homelessness, economic challenges were unsurprisingly paramount, but family dynamics, health crises and language barriers all played important roles. We conclude with a discussion of how recent shifts in migration patterns, particularly the increase in numbers of im/migrants within a context of housing crisis, have brought the risk of im/migrant homelessness to the fore with underscoring the urgent need for further research on the topic.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.142
Threshold uncertainty score0.287

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0180.027
Science and technology studies0.0030.002
Scholarly communication0.0060.002
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.145
GPT teacher head0.445
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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

Citations1
Published2024
Admission routes4
Has abstractyes

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