Dining out with food allergies: Two decades of evidence calling for enhanced consumer protection
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Food allergic reactions in restaurant settings are regularly reported, including fatalities. The risk of dining out with food allergies is well documented, and is in part attributed to insufficient regulatory oversight. The objectives of this review were to (i) present scientific evidence characterizing the risk of dining out with food allergies, (ii) describe advances in proposed management mechanisms to mitigate this risk, and (iii) outline gaps in existing practices and regulations related to food allergen management in foodservice operations. Scientific publications (n=60) and laws/regulations from different jurisdictions (n=20) related to food allergy and food allergens management in foodservice operations were systematically retrieved and reviewed. Although the inherent nature of these operations poses challenges to the implementation of allergen control measures, evidence suggests that food-allergic consumers will continue to be at risk unless more stringent regulatory requirements, particularly related to communication with diners and between staff members, are adopted. • First international literature review on the risk of dining out with food allergies. • 20 years of evidence support the need for enhanced regulatory requirements. • Requirements related to communication with diners and between staff are recommended. • Food services would need support to adopt enhanced allergen requirements.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 it