Risk and protective factors of precarious housing among Aboriginal people living in urban centres in Alberta, Canada
Bibliographic record
Abstract
In Canada, Aboriginal people are over-represented among people experiencing homelessness and other forms of precarious housing. In an effort to better understand the varied factors that might contribute to this situation, administrative data collected about individuals utilizing housing support services in seven Alberta, Canada cities were analyzed. Logistic regression was used to analyze the relationship between a categorical dependent variable measuring two housing situations (permanent/stable housing and precarious housing) and demographic, socio-economic, and personal health problem predictor variables for Aboriginal people within the study sample (n=1106). The analysis found that living in a larger city, having more income and education, and being married were all protective factors from being precariously housed. Having an addiction was found to be a risk factor for precarious housing. The findings suggest the need for more detailed investigation of the impact of addictions on housing for Aboriginal people along with an assessment of the types of housing resources available for Aboriginal people in smaller urban communities. Resume Les Autochtones sont surrepresentes parmi les personnes sans domicile et en situation de logement precaire au Canada. Afin de mieux comprendre les divers facteurs qui peuvent contribuer a cette situation, les donnees administratives individuelles des personnes utilisant les services de soutien au logement dans sept villes d’Alberta, ont ete analyses. Des modeles de regression logistique ont etes utilises pour analyser la relation entre une variable qualitative dependante mesurant deux situations de logement (logement permanent/stable et logement precaire), et des variables de prediction dans l’echantillon (n=1106), tels les donnees demographiques et socio-economiques, et les problemes de sante individuels. L’analyse demontre que vivre dans un centre urbain plus grand, avoir un revenu et un niveau d’education plus eleve, et etre marie, sont tous des facteurs de protection contre le logement precaire. Un facteur de risque pour le logement precaire est d’avoir une toxicomanie. Les resultats de l’analyse suggerent qu’une investigation plus approfondie des impacts de la toxicomanie sur la precarite au logement des Autochtones, une investigation des types de ressources en logement disponibles dans les communautes urbaines plus petites pour les Autochtones semble necessaire. Mots-cles: Autochtones; logement precaire; toxicomanie; itinerance; politique
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".