Food Safety: Experiences of Seven Countries in Consolidating Their Food Safety Systems
Bibliographic record
Abstract
A letter report issued by the Government Accountability Office with an abstract that begins "The safety and quality of the U.S. food supply are governed by a complex system that is administered by 15 agencies. The U.S. Department of Agriculture (USDA) and the Food and Drug Administration (FDA), within the Department of Health and Human Services (HHS), have primary responsibility for food safety. Many legislative proposals have been made to consolidate the U.S. food safety system, but to date no other action has been taken. Several countries have taken steps to streamline and consolidate their food safety systems. In 1999, we reported on the initial experiences of four of these countries--Canada, Denmark, Ireland, and the United Kingdom. Since then, additional countries, including Germany, the Netherlands, and New Zealand, have undertaken consolidations. This report describes the approaches and challenges these countries faced in consolidating food safety functions, including the benefits and costs cited by government officials and other stakeholders. In commenting on a draft of this report, HHS and USDA said that the countries' consolidation experiences have limited applicability to the U.S. food safety system because the countries are much smaller than the United States. The two agencies believe that they are working together effectively to ensure the safety of the food supply."
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 | 0.021 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".