Exploring and redefining home visitability with the Scia'new and Esquimalt Nations
Bibliographic record
Abstract
This qualitative study was designed in collaboration with the Scia'new and Esquimalt Nations to learn how home and community design impacts the health and quality of life of those living with mobility challenges in their communities.The research questions were: 1) How does the presence or absence of the three structural visitability features (a zero step entry, 32 inch wide doorway and a wheelchair accessible bathroom on the main floor) impact First Nations people with disabilities, 2) What barriers and supports most impact the quality of life of those living with disabilities, 3) How does reserve community infrastructure influence individual home visitability?Methods included: a community scan to assess the layout and physical infrastructure, and photovoice, employed to provide a medium for documentation by participants and to stimulate individual interviews.The study included interviews with nine participants who identify as First Nations (four from Esquimalt and five from Scia'new) living on reserve with mobility challenges.The thematic analysis included a group check-in session, where key findings were tested and themes verified or modified.Findings indicated that emergent themes were divided into two dimensions: physical safety, including themes of home visitability, physical barriers, home maintenance, and community infrastructure; and social capital, including reciprocity of support, community relations, and Band administration.The results showed that despite the many physical and social barriers experienced by the Scia'new and Esquimalt participants, the degree of social capital strongly mitigated the negative impacts of their limitations.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".