Promoting Slhánay Sḵwálwen (Indigenous Women's Heart Health): Findings From Sharing Circles With Squamish Nation
Bibliographic record
Abstract
OBJECTIVE: To gather knowledge and experiences from Squamish Nation citizens to codevelop a model of foraging walks for Indigenous women's heart health. DESIGN: Qualitative study (sharing circles). SETTING: Vancouver, Canada (virtual). PARTICIPANTS: Squamish Nation community members (n = 9), Elders or Knowledge Keepers (n = 5), and researchers (n = 2). INTERVENTION: Community-led foraging walks as a culturally safe nutrition education strategy. MAIN OUTCOME MEASURE(S): Perspectives and experiences. ANALYSIS: Content analysis and narrative synthesis. RESULTS: Personal experiences of foraging walks or knowledge of traditional plants were limited for most participants, and all desired to learn more about traditional foods using land-based activities. Participants identified a lack of nutrition education surrounding heart health and common mistreatment and judgment from health professionals. Participants identified important elements of a future Squamish program, including who should be involved, how to implement it, and the most effective temporal and physical setting. All agreed foraging walks help promote 5 dimensions of heart health (physical, emotional, spiritual, mental, and social) through physical activity, purposeful nutrition, and connection to community and culture. Findings from the sharing circles were used in the creation of a template for future foraging sessions and contributed to plant identification cards for the whole community. CONCLUSIONS AND IMPLICATIONS: Community-based pilot studies to test foraging walks as a culturally safe and environmental approach to nutrition education and cardiovascular health awareness for Indigenous communities are warranted. Research to examine the similarities and differences across Indigenous groups related to understanding heart health and land-based practices for nutrition education and heart health awareness is needed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.006 |
| 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".