Food Allergen Labelling Position Paper Food Allergen Labelling Position Paper
Bibliographic record
Abstract
Anaphylaxis Canada is a hybrid of the recently merged Anaphylaxis Network of Canada and Anaphylaxis Foundation of Canada (July 2001). As a national charitable organization, our mission is to inform, support, educate, and advocate for the needs of individuals and families living with anaphylaxis and to support research related to anaphylaxis. Anaphylaxis, a potentially life-threatening allergic reaction, affects an estimated 1-2 % of Canadian adults and 2%-4 % of Canadian children … and this number is growing. Through research, improved diagnosis, and increased awareness, allergic individuals are in a much better position today to manage this condition. While guidelines in food labelling practices have improved over the past decade, the selection of safe foods presents an ongoing challenge for allergic consumers due to inconsistent labelling practices. Our intent, in presenting this position paper, is to provide recommendations to improve this situation, our ultimate goal being the safety of the food allergic consumer.
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.
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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.013 | 0.004 |
| Insufficient payload (model declined to judge) | 0.064 | 0.038 |
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".