Food allergy knowledge, attitudes, and resources of restaurant employees
Bibliographic record
Abstract
Purpose Restaurants are unique and challenging environments for accommodating food allergies. The purpose of this paper is to evaluate food allergy knowledge, attitudes and resources among restaurant employees, and identify differences based on restaurant mode of operation. Design/methodology/approach A total of 209 food-service workers were surveyed in full-service restaurants across Southern Ontario, Canada. A paper-based questionnaire was used to evaluate participants’ food allergy knowledge, attitudes toward handling food allergy requests and emergencies, and the availability of food allergen resources at the restaurant. Findings Most participants were knowledgeable about food allergies, and valued being able to provide safe meals. However, there was a general lack of access to important food allergy risk management resources and training. Food allergy attitudes were significantly different between restaurant modes of operation. Also, food allergy training and resources were positively correlated with employee attitudes toward food allergies. Practical implications The results of this study show that engaging employees in food allergy training can contribute to greater levels in employee awareness and confidence in protecting health and safety of restaurant patrons with food allergies. Restaurants that demonstrate a strong preparedness toward handling food allergy requests can deliver a better customer experience and increase customer loyalty. Originality/value The findings of this study underscore the need for the restaurant industry, policy makers and food safety educators to work together to develop training programs and relevant resources to support and facilitate food allergy risk management in restaurants.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".