Strengthening Community Roots: Anchoring Newcomers in Wellness and Sustainability (SCORE!): A protocol for the co-design and evaluation of a healthy active living program among a newcomer community in Canada
Bibliographic record
Abstract
ABSTRACT BACKGROUND The burden of childhood obesity and cardiometabolic risk factors affecting newcomer Canadians living in lower socioeconomic circumstances is a concerning public health issue. This paper describes Strengthening Community Roots: Anchoring Newcomers in Wellness and Sustainability ( SCORE! ), an academic-community research partnership to co-design interventions that nurture and optimize healthy activity living (HAL) among a community of children and families new to Canada in Hamilton, Ontario, Canada. METHODS/DESIGN Our overarching program is informed by a socio-ecological model, and will co-create HAL interventions for children and families new to Canada rooted in outdoor, nature-based physical activity. We will proceed in three phases: Phase 1) synthesis of existing evidence regarding nature based HAL interventions among children and families; Phase 2) program development through four data collection activities including: i) community engagement activities to build trustful relationships and understand barriers and facilitators, including establishing a community advisory and action board, qualitative studies including a photovoice study, and co-design workshops to develop programs; ii) characterizing the demographics of the community through a household survey; iii) characterizing the built environment and HAL programs/services available in the community by developing an accessible real-time systems map; and iv) reviewing municipal policies relevant to HAL and sustainability; leading to Phase 3) implementation and evaluation of the feasibility of co-designed HAL programs. CONCLUSION The etiology of childhood obesity and related chronic diseases is complex and multifactorial, as are intervention strategies. The SCORE! program of research brings together partners including community members, service providers, academic researchers, and organizational leaders to build a multi-component intervention that promotes the health and wellness of newcomer children and families.
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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 | 0.036 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.007 |
| 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".