Bullying and quality of life in children and adolescents with food allergy
Bibliographic record
Abstract
Food allergy is an increasing phenomenon in Australia, with most recent reports of food allergy occurring in 1 in 12 children. A number of studies have demonstrated that children and adolescents with food allergies experience a decreased quality of life across a number of domains. More recent evidence suggests that this population also experiences an increased occurrence of bullying compared to similar school-aged children. Some individuals have reported being bullied because of their allergies, whilst others have reported specific allergy-related-bullying, such as being touched with foods that they are allergic to or having their food being intentionally contaminated with an allergen. Where there may be a risk of severe anaphylaxis, this is of great concern. This article reviews the current literature on bullying in populations of children and adolescents with food allergies. Several papers worldwide have investigated this, providing evidence of its occurrence in North America, Canada, Italy and Japan.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".