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Record W4407133285 · doi:10.18584/iipj.2024.15.3.16334

Challenging Structural Racism and Violence in Policy and Practice for Indigenous Families Experiencing Homelessness

2024· article· en· W4407133285 on OpenAlexaffvenueabout
Rita Henderson, Katelyn Lucas, Sean Bristowe, Jess W. Bromley, Monica Chief Moon, Valli Fraser-Celin, Katrina Milaney

Bibliographic record

VenueInternational Indigenous Policy Journal · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIndigenousRacismSociologyCriminologyHistorical traumaAnti-racismStructural violenceGender studiesPolitical sciencePsychologyLawPsychotherapistPolitics

Abstract

fetched live from OpenAlex

Background: Canada’s settler history and legacy impacts of colonialization mean that policy is grounded in Eurocentric ideals which exacerbate vulnerabilities for Indigenous families due to gendered and racialized experiences. Objectives: Our purpose was to understand the experiences of Indigenous women as they try and secure safe affordable housing for themselves and their children. Methods: We utilized a community-based approach and interviewed 12 urban Indigenous women with current or recent experiences of homelessness. Results: Structural violence and racism manifested in three ways: trauma leads to homelessness which leads to trauma; families are trapped in dependency; the search for housing leads to fear of violence. Conclusion: The existence of multiple polices and frameworks to prevent human rights and housing violations are inadequate in protecting Indigenous women and children from racism and violence. An anti-colonial approach is necessary to review and align mainstream policy. This work must be led by lived experience experts.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.041
GPT teacher head0.464
Teacher spread0.423 · 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 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

Citations3
Published2024
Admission routes3
Has abstractyes

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