Northern Housing Networks: Building Collaborative Efforts to Address Housing and Homelessness in Remote Canadian Aboriginal Communities in the Context of Rapid Economic Change
Bibliographic record
Abstract
Canada's northern and remote regions experience unique challenges related to housing and homelessness. As such, there is a need to understand and develop strategies to address housing-related concerns in the North. The diversity of communities across the North demands the tailoring of specific, local-level responses to meet diverse needs. Over the past decade local networks have emerged as a powerful method for governance and development of localized responses to addressing homelessness across Canada and North America. Despite this, there is a paucity of research examining challenges and effective approaches utilized by these local networks or their potential applicability for building housing security in rural, remote, and northern communities. This research examined the experiences of a Northern Canadian housing and homelessness network. The experience of this network points to strategies that can lead to successful collaborative approaches aimed at implementing programs to address homelessness in northern and remote communities. Keywords: homelessness, collaboration, network, remote, Aboriginal ------------------------------------------------------ Le nord du Canada et les régions éloignées font face à des défis particuliers en termes de logement et d'itinérance. Ainsi, Il est nécessaire de comprendre et de développer des stratégies pour résoudre les problèmes soulevés par le logement dans le Nord. La diversité des communautés à travers le Nord demande un ajustement à des besoins spécifiques, locaux et à différents niveaux, afin de répondre aux attentes variées. Au cours des dix dernières années, les réseaux locaux sont apparus comme des méthodes de gouvernance et de développement de réponses localisées en matière d'itinérance à travers le Canada et en Amérique du Nord. Malgré cela, il y a un manque de recherche examinant les défis et les approches efficaces utilisées par ces réseaux locaux ou leur applicabilité potentielle pour construire des logements sécuritaires dans des communautés rurales, éloignées ou du Nord. Cette recherche examine les expériences d'un réseau de logement et d'itinérance canadien du Nord. L'expérience de ce réseau met en valeur les stratégies qui peuvent mener à des approches collaboratives réussies menant à l'implantation de programmes à l'attention des itinérants dans le nord et les communautés éloignées.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".