Regulation of functional foods and nutraceuticals :a global perspective
Bibliographic record
Abstract
Foreword (Clare M. Hasler).1. The Impact of Regulations on the Business of Nutraceuticals in the US: Yesterday, Today and Tomorrow. (Kathie L. Wrick).2. The Regulatory Context for the use of Health Claims and the Marketing of Functional Foods. Global Principles (Michael Heasman).3. Regulation of Quality and Quality Issues Worldwide. (Joy Joseph).4. Organic Food Regulations: Part Art, Part Science. (Kathleen Merrigan).5. Health Claims: A U.S. Perspective (Victor Fulgoni).6. Food and Drug Administration Regulation of Dietary Supplements (Stephen H. McNamara, Hyman Phelps & McNamara, P.C.).7. The Food and Drug Administration Modernization Act of 1997. Tropicana Pure Premium and the Potassium Health Claim--A Case Study (Carla McGill).8. The Importance of the Court Decision in Pearson v. Shalala to the Marketing of Conventional Food and Dietary Supplements in the United States (Elizabeth Martell Walsh, Erika Lietzan, and Peter Barton Hutt).9. Dietary Supplements and Drug Constituents: The Pharmanex v. Shalala Case and Implications for the Pharmaceutical and Dietary Supplement Industries. (Daniel A. Kracov, Paul D. Rubin, and Lisa M. Dwyer).10. The Role of the Federal Trade Commission in the Marketing of Functional Foods (Lesley Fair).11. Functional Foods: Regulatory and Marketing Developments in the United States. (Ilene Ringel Heller).12. The Nutraceutical Health Sector: A Point of View. (Stephen DeFelice).13. Regulatory Issues Related to Functional foods and Natural Health Products in Canada. (Kelley Fitzpatrick).14. The Regulation of Functional Foods and Nutraceuticals in the European Union. (Peter Berry Ottaway).15. Functional foods in Japan. FOSHU (Foods for Specified Health Uses) and Foods with Nutrient Function Claims. (Ron Bailey).16. Regulation of Functional Foods in China. (Karen Lapsley and Guangwei Huang).17. Southeast Asia Region Coordinated Survey of Functional Foods in Asia. (E-Siong Tee).18. Regulation of Functional Foods and Herbal Products in Germany and Sweden. (Joerg Gruenwald and Birgit Wobst).19. Functional Food Regulations in Australia and New Zealand. (Jane L. Allen, Peter J. Abbott, Susan L, Campion, Janine L. Lewis, Marion J. Healy).20. Regulation of Functional Food in Spain. (Luis Garcia Diz, Jose Luis Sierra Cinos).21. Functional Food Legislation in Brazil. (Fraco Lajolo).22. Codex and its Competitors: The Future of the Global Regulatory and Trading Regime for Food and Agricultural Products. (Mark Mansuer).Index.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.012 | 0.008 |
| Insufficient payload (model declined to judge) | 0.026 | 0.006 |
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".