of Canada’s Health Check Food Information Program Modelling Program Effects on Consumer Behaviour and Dietary Practices
Bibliographic record
Abstract
Background: A conceptual model was proposed and tested in order to link attitudinal and awareness factors that might explain changes in food purchase behaviours and dietary patterns related to the Heart and Stroke Foundation of Canada’s Health Check food information program. Methods: Two hundred food shoppers completed a survey inquiring about demographics, diet-related health conditions, attitude toward healthy food purchases, use of food package information, and awareness, perceived value and reported use of the Health Check logo. Participants provided their receipt for groceries purchased and completed a dietary fat assessment. Path analysis was used to test the model. Results: Shoppers purchasing a Health Check product had lower fat intakes than shoppers who did not (30.4 % vs. 33.9 % calories from fat; p<0.05). There was strong association (ß=0.81; p<0.001) between logo awareness and use, and the meaning consumers attributed to the logo moderated this relationship (ß=0.53; p<0.01). Logo awareness was related to general use of food package information (ß=0.14; p<0.05) and attitude toward
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".