Healthy Heroes: Promoting Healthy Behaviour Change for Weight-Related Body Issues in Canadian Families
Bibliographic record
Abstract
The pursuit for an idealistic body permeates contemporary culture, with research drawing connections to body image dissatisfaction and its emergence in children as young as age 5 (Lowes & Tiggemann, 2003). This Master of Design thesis project focuses on the impact of the parent-child relationship and its importance in the healthy development of a child’s self-image.\nThe scope of the work addresses Canadian parents with a child between the ages of 4-6, emphasizing the influence of their role in promoting positive body awareness during early childhood. this project considers how design may affect the knowledge, perspectives and behaviours of young Canadian families who are struggling with body dissatisfaction. a review of precedent literature triangulates the inquiry within the partnering fields of health and social sciences. Various participatory design methods were introduced in a human-centered approach, collaborating with parents to address the gaps in contemporary parenting resources.\nA synthesis of primary and secondary research resulted in the designed outcome of “healthy heroes”; a behaviour change system that supports Canadian families in communicating and engaging in positive health behaviours. The system is made up of tools centered around the narrative of the healthy heroes superhero team; a set of four children who use their natural, intrinsic traits as superpowers within everyday life. The tools encourage healthy behaviours through shared parent-child experiences, providing children with the education and agency to develop lifelong resiliency skills in an entertaining way.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".