Métis traditional knowledge and the life transition needs of urban Métis homeless people
Bibliographic record
Abstract
Métis people are one of the three distinct Indigenous peoples of Canada with a unique history, culture, and community structure, with Métis conceptualizations of wellness described as holistic and culturally based. Despite Indigenous people being highly overrepresented in the homeless population, very little is known about Métis experiences of homelessness, including pathways into and out of homelessness. Métis people are a highly urbanized population, with Toronto being home to the largest number of Métis citizens in Ontario. The research question investigated in this study was: “What are the supports and challenges of Métis traditional knowledge in addressing the life transition needs of the urban Métis homeless population?” A total of 14 participants were recruited for this study and included community front line workers and Métis Knowledge Keepers. A narrative inquiry methodology was used to explore life transition needs related to education, employment and mental health for urban Métis people experiencing homelessness. This resulted in the emergence of a Métis specific model titled Li Voyaazh Niikinaahk (My Journey Home) that outlines the supports and challenges of Métis traditional knowledge in addressing homelessness. Limitations, future directions, and implications for policy are included in this work.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".