Evaluation of the effectiveness of the Food Steps healthy eating program
Bibliographic record
Abstract
This thesis investigated the application of the FOOD STEPS program, designed to reduce dietary fat intake among mobile and stationary workers in Hamilton, Ontario. One hundred and sixty-nine participants from four worksites completed a self-administered registration form and questionnaires at baseline and after six-months. Two intervention worksites; received the FOOD STEPS program, and two comparison worksites, received handout information either through the mail or from their worksite. The majority of respondents for both intervention and comparison maintenance for reducing dietary fat at all three measurement periods. There were no significant differences found between intervention and comparison sites in participant age, gender or stage of change at any time point. Six-month follow-up surveys revealed no significant progression through the stages of change or improvements to self-efficacy or decisional balance for either treatment or comparison groups. Results suggest that the FOOD STEPS program may be an inappropriate program in itself to improve dietary behaviours. Improved methods of program promotion are needed to attract more participants in the pre-action stages of change, who could benefit most from the FOOD STEPS program.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".