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Record W7033630129

A Qualitative Analysis of the Resettlement Experiences of Refugee Claimants in Hamilton, Ontario

2021· dissertation· en· W7033630129 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2021
Typedissertation
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeQualitative researchRentingRental housingQualitative analysisService (business)Qualitative propertyAsylum seeker
DOInot available

Abstract

fetched live from OpenAlex

This thesis explores the relationship between restrictive screening techniques imposed by landlords and the ability of refugee claimants to access housing in a medium-sized Canadian city. While existing research has explored refugees’ experiences with resettlement, few have focused specifically on refugee claimants who arrive in their destination country with specific health needs, limited resources, and access to different services compared to other entry categories. Using qualitative research techniques, this study sought to better understand the experiences of refugee claimants as they search for housing in a medium-sized Canadian city. Through interviews with service providers, volunteers, and refugee claimants themselves, three main themes were identified. First, we explore the relationship between a competitive housing market and the ability of landlords to be selective about who they rent to. Our findings suggest that the power imbalance between landlords, tenants and applicants is only amplified in a competitive market and allows landlords to choose applicants based on their own personal biases. Second, participants identified strict rental applications as the primary mechanism used by landlords to filter applications and identify tenants that they deemed to be “desirable”, while excluding other groups. In many cases, refugee claimants were found to be uniquely (and negatively) impacted by this practice because they often do not have the personal or financial resources available to successfully fill out these applications. Finally, participants identified two structural barriers which hindered a refugee claimants’ ability to access housing and, when combined with strict rental applications, often resulted in their exclusion from housing. This thesis is relevant to the current Canadian context, given the government’s continued commitment to resettling refugees and the increasingly competitive housing markets across Canada. Overall, this thesis adds to the existing literature regarding the resettlement experiences of refugee claimants and their ability to access housing in a medium-sized Canadian city.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.300

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0210.011
Scholarly communication0.0040.002
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.018
GPT teacher head0.261
Teacher spread0.242 · 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 designQualitative
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

Citations0
Published2021
Admission routes1
Has abstractyes

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