Sekuwe (My House): building health equity through Dene First Nations housing designs
Bibliographic record
Abstract
The Truth and Reconciliation Commission of Canada determined that the Dene people, among other Indigenous groups, experienced cultural genocide through policies that separated them from their lands and resources, and from their families, languages, cultures, and by forcibly sending children to Indian Residential Schools. The resultant social inequity is manifested in conditions of social injustice including inadequate housing. The Dene healthy housing research was a continuing partnership between the two Dene First Nation communities, the university and a provincial First Nation non-government organisation. This project engaged the creative energies of university students and Dene senior-high students to create and articulate Dene healthy housing so that concepts/plans/designs are ready for future funding interventions. We co-developed methods and networks to reframe housing as a social determinant of health and an important factor in social justice. This project reflects the fundamental requirement for a respectful understanding of Dene perspectives on housing and health and the need for Dene control over their built environment.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.003 |
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".