Evaluating the Impact of a Holistic, Community-Driven, Physical Activity-Based Wellness Program for Indigenous Women using Nominal Group Technique
Bibliographic record
Abstract
Objective Indigenous women experience structural barriers to wellness rooted in colonialism and related socio-political processes, making participation in physical activity and access to balanced nutrition challenging. In response, a holistic wellness program was developed in Lloydminster, Alberta, and multiple program iterations have since been completed in urban and rural (including reserve) settings in Alberta, Canada: Onion Lake Cree Nation, Lloydminster and Calgary. The program includes physical activity, nutrition education, bridging to local healthcare support and sharing circles to facilitate reflection. This article collates three years of qualitative data between programs to answer the question: “What does the program do?” Methods Between 2017 and 2019, twenty-four participants, four facilitators and three community champions completed post-program interviews. A mixed-methods, qualitative, two-part analysis was completed involving thematic analysis of transcripts followed by a structured consensus-building approach called nominal group technique (NGT). Results Collaborative analyses revealed that the program enables: 1) self-actualization through collective effort – development of knowledge, skills, beliefs, and behaviours needed to manage one’s own health, 2) improved personal wellness, and 3) access to social and cultural supports. Cultural relevancy and safety were identified as key elements of the context that supported these changes. Conclusion The wellness program for Indigenous women demonstrates positive impacts on the health and well-being of participants. Benefits naturally extend to participant families as well as to communities involved through capacity building. The environment of the program, not simply the education and resources offered within it, also contributes to this positive impact.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".