Identifying Perspectives About Health to Orient Obesity Intervention Among Urban, Transitionally Housed Indigenous Children
Bibliographic record
Abstract
Drawing from a socioecological framework of health, this community-based participatory research study examined key cultural health perspectives of transitionally housed, food insecure Indigenous children (aged 8–12 years) by utilizing talking circles and a 4-day photovoice (PV) curriculum. In total, 18 Indigenous children portrayed their health perceptions by taking photographs of their living environment and categorizing photos as healthy, unhealthy, or mixed. And, 10 of the 18 children completed pre- and post-evaluations, where data elucidated that urban Indigenous children experiencing food and housing insecurity demonstrate unique holistic and socioecological perceptions about health. Healthy themes included nutrition, gardening, interpersonal relationships, food sovereignty, water quality, and natural and built environments. Unhealthy themes included cumulative stress, food insecurity, access and cost, screen time, smoking, and violence. We found that implementing these robust insights into urban Indigenous obesity prevention interventions could significantly drive success. This approach may benefit children with similar socioecological strengths and vulnerabilities.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".