Food allergies and Living with Risk: Navigating everyday life at university when at risk of anaphylaxis
Bibliographic record
Abstract
Life-threatening food allergies which put an individual at risk of anaphylaxis change the way that everyday life, and the spaces that constitute it, are experienced. Some research within geography has explored children’s experiences of living with this risk, but few until now have explored the complexities of navigating life with a food allergy for young people at university. This research therefore seeks to address this gap by bringing to the fore the experiences of young people who have attended or currently attend university in the UK and live with a life-threatening food allergy. It reveals how their everyday lives and transition to university are made more complex by anaphylaxis risk. These ideas were explored via seven online in-depth, semi-structured interviews with current or recent university students who carry EpiPens and are at risk of anaphylaxis. Through a process of thematic coding, the spatial and relational dimensions of anaphylaxis risk were revealed within different university contexts. An exploration of the impacts of the COVID-19 pandemic on allergy management is also explored as a novel focus. The research calls for more attention to be paid to young people and students at risk of anaphylaxis and the mental health implications of living with allergies.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".