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Record W7053743258

To whom can Canada be home? : an intersectional analysis of the perceived challenges in accessing housing for women asylum seekers in Montreal, Canada

2024· dissertation· en· W7053743258 on OpenAlexaboutno aff

Bibliographic record

VenueJyväskylä University Digital Archive (University of Jyväskylä) · 2024
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsnot available
Fundersnot available
KeywordsIntersectionalityThematic analysisGovernment (linguistics)Socioeconomic statusPsychological interventionOvercrowdingImmigrationCitizenshipQualitative research
DOInot available

Abstract

fetched live from OpenAlex

This study examines the complex interplay between various identity factors such as gender, parenthood, and citizenship status, collectively influencing housing accessibility for asylum-seeking women in Montreal, Canada. By focusing on their understudied experiences, it addresses two key questions: (1) What are the perceived challenges faced by asylum-seeking women in accessing housing in Montreal? (2) How do intersecting social categories such as gender, race, socioeconomic class, immigration status, and parenthood collectively influence the housing accessibility of asylum-seeking women in Canada? This research is grounded in intersectionality theory, which offers a nuanced understanding of the intricate dynamics involved. Qualitative methodology is employed to amplify the voices of asylum-seeking women through semi-structured interviews, providing a platform for both structured questions and narrative storytelling. Thematic analysis and the matrix of domination inform data analysis. The main findings reveal logistical, economic, and social and cultural barriers faced by asylum-seeking women in accessing housing. These challenges necessitate the implementation of targeted policy interventions that address the structural, disciplinary, hegemonic, and interpersonal domains of power. Specifically, asylum-seeking women encounter difficulties in accessing childcare or schools, navigating a new environment, delays in the immigration process, overcrowding in shelters, absence of a credit record, high rental prices, discrimination by landlords, inadequate government support, financial limitations, emotional burdens, social isolation, gender-based insecurity, discrimination, language barriers, and trust issues. These challenges intersect with gender, race, socioeconomic class, immigration status and parenthood, underscoring the necessity for tailored interventions to address the distinctive housing needs of asylum-seeking women and inform policy discussions for more equitable housing policies. This research is significant in that it has the potential to illuminate the overlooked narratives of asylum-seeking women, thereby fostering a more inclusive discourse on housing accessibility and contributing to a more responsive housing policy landscape.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
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
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.204
Teacher spread0.192 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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