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Record W4402653104 · doi:10.52361/fsbh.2024.4.e15

Solutions to the Issues Raised From Korea’s Food With Functional Claims System

2024· article· en· W4402653104 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFood Supplements and Biomaterials for Health · 2024
Typearticle
Languageen
FieldNursing
TopicNutrition, Health and Food Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsFunctional foodPolitical scienceEnvironmental ethicsBusinessFood scienceBiologyPhilosophy

Abstract

fetched live from OpenAlex

Major countries each have a type of foods with health claims (FHCs).For example, in the United States, there are 'dietary supplements'; in China, 'health foods'; in the EU, 'food supplements'; and in Canada, 'natural health foods.'Each of these countries regulates its respective FHCs under a single law.However, Korea, like Japan, has 2 types of FHCs: 'health functional foods (HFFs)' and 'foods with function claims (FFCs).' HFFs are regulated under the Health Functional Foods Act, 2002, where the Ministry of Food and Drug Safety (MFDS) reviews and approves HFFs based on experimental data submitted by manufacturers regarding the product's functionality and safety.On the other hand, FFCs are governed by the Act on Labeling and Advertising of Foods, 2020.FFCs are the general foods to which more than 30% of the daily recommended intake of HFF components has been added, and the resulting foods are approved by the MFDS without review, simply by reporting the product.However, since the implementation of the FFC system, numerous issues have been raised.This study aims to address these problems.To do so, we analyzed the FHC systems of the major counties.Based on this analysis, we propose 2 possible solutions.Solution A is to abolish the regulation of FFCs.The rationale is that FFCs, due to their insufficient levels of functional ingredients, do not contribute meaningfully to consumer health.Additionally, major countries only maintain one type of FHC.Solution B is to enact a law that integrates the regulation of both HFFs and FFCs.Under the unified regulatory system, these 2 types of products could be managed more efficiently.This law should include the following 3 elements: 1) Change the name from 'foods with function claims (FFC)' to 'foods containing health functional food (FCHFFs)'; because the current FFCs do not guarantee the functionality of HFFs due to their insufficient content but contain it.2) Limit the formula of the FCHFFs to drinks, snacks, or candies, rather than tablets or granules, to distinguish them from HFFs. 3) Include 'fresh foods containing health functional ingredients (FFCHFIs)', i.e. if agriculture or marine foods include health functional ingredients that meet standard amount, they can be approved as FFCHFIs.Solution B is deemed more realistic and, if implemented, is expected to help resolve the current issues with FFCs.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.056
GPT teacher head0.332
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it