<i>Eat Smart! Ontario’s Healthy Restaurant Program:</i> Focus Groups With Non-participating Restaurant Operators
Bibliographic record
Abstract
Eat Smart! Ontario's Healthy Restaurant Program is a standard provincial health promotion program. Public health units give an award of excellence to restaurants that meet nutrition, food safety, and non-smoking seating standards. The purpose of this study was to determine why some restaurant operators have not applied to participate in the program, and how to get them to apply. Four focus group interviews were conducted with 35 operators who didn't apply to participate. The analysis of responses yielded various themes. The participants' perceived barriers to participation were misunderstandings about how to qualify for the program, lack of time, concern about different non-smoking bylaw requirements, and potential loss of revenue. Their perceived facilitators to participation were convenience of applying to participate, franchise executives' approval to participate, a 100% non-smoking bylaw, flexibility in the assessment of restaurants, the opportunity for positive advertising, alternative payment for food handler training, and customer demand. Program staff can use the findings to develop and use strategies to encourage participation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".