Integrated Knowledge Translation in the Food and Nutrition Security for Manitoba Youth study
Bibliographic record
Abstract
Abstract Background There are concerns that many children do not have healthy diets, which may be related to dietary choices as well as lack of access to healthy foods. The Food and Nutrition Security for Manitoba Youth (FANS) study examined diet, nutrition-related behaviours and food security of 1587 grade nine students in Manitoba, Canada. Results show that while one in five students were food insecure, almost all need significant dietary improvements. Engaging stakeholders through multiple communication channels is key to disseminating research outcomes to drive action for policy change. Methods Principles of integrated knowledge translation were followed, including a breadth of dissemination activities, to maximize impact of study results. These included diverse partnerships, academic and non-academic research outputs, and use of media. Results Study partners including academic co-investigators, school authorities, government agencies and non-profit organizations advocating for child nutrition contributed to study design, interpretation and dissemination. Results were published in academic journals, as well as translated into a suite of non-academic outputs including a community report, infographics (circulated on social media), and a searchable data dashboard, available through a web-based portal. This approach allows for tracking of research output downloads, which number over 500 to date. Due to active outreach to traditional media, study results received widespread attention adding to the breadth of knowledge translation methods employed. This also led to uptake by provincial health education curriculum developers. Results will also be circulated during an upcoming provincial election as part of engaging candidates around child nutrition and food security issues and policies. Conclusions This broad approach to integrated knowledge translation has resulted in extensive distribution of FANS study results and has potential to influence public health nutrition policy. Key messages • Integrated knowledge translation and a breadth of dissemination strategies in the FANS study has led to extensive distribution of research outputs and media coverage. • The FANS knowledge portal, with diverse academic and non-academic research outputs including a data dashboard, is strategic for public health nutrition promotion and advocacy.
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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 | 0.026 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".