Experiences of coeliac disease in a changing gluten‐free landscape
Bibliographic record
Abstract
BACKGROUND: Coeliac disease is an autoimmune disorder triggered by the ingestion of gluten. In recent years, there has been considerable increase in the availability of gluten-free products in North America. The present study investigated how the recent proliferation of the gluten-free industry has affected individuals living with coeliac disease, with a primary focus on their social lives and relationships. METHODS: Interpretive phenomenology was utilised for study design and analysis. Semi-structured interviews were conducted with 17 adults diagnosed with coeliac disease in Calgary, Alberta. Interviews were audio recorded and then transcribed for analysis. RESULTS: People living with coeliac disease experience the growth of the gluten-free industry as a 'double-edged sword'. Although they are grateful for more palatable gluten-free options, they are increasingly faced with misunderstandings about the severity of coeliac disease as a result of many noncoeliac disease individuals subscribing to the gluten-free diet. This 'double-edged sword' made certain types of social situations more easily manageable (e.g. more gluten-free options available at restaurants), whereas others produced distress (e.g. increased risk of inadvertently consuming gluten). Participants also felt they may be perceived or even perceived themselves differently (e.g. felt high maintenance). To help mitigate these social ramifications of following the gluten-free diet, participants utilised various strategies. CONCLUSIONS: The sole medical recommendation of a gluten-free diet fails to acknowledge the ongoing difficulties those with coeliac disease can endure in the current gluten-free landscape. Recommendations beyond the gluten-free diet are advisable to alleviate many of the indirect burdens revealed in the present study.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".