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Record W3155978892 · doi:10.3920/jiff2020.0066

Regulations on insects as food and feed: a global comparison

2021· article· en· W3155978892 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

VenueJournal of Insects as Food and Feed · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Utilization and Effects
Canadian institutionsnot available
FundersAcademy of Finland
KeywordsBusinessEuropean unionFood safetyFood processingFood industryProduction (economics)Animal feedAgricultural economicsBiotechnologyMarketingInternational tradeEconomicsBiologyFood science

Abstract

fetched live from OpenAlex

Insects, as a food and or feed source, represent an emerging protein source relevant to farmers, feed companies, food companies and food marketers globally. The growth of this industry is somewhat restricted due to outdated food and feed regulations covering insect use. The regulations also do not allow the use of all potential insects as food and feed. Governments aim to ensure food and feed safety, and each country has its own substantive and procedural rules for this purpose. However, the regulatory demands and differences between countries complicate the international marketing strategies for insect products. Food and feed regulation are separate; feed regulation may allow insect usage even when they are not allowed as food. Some countries have specific rules for novel foods, while others do not. This paper compares insect food and feed regulation of the primary production and marketing areas: the European Union, the United States, Canada, and Australia. In addition, the situation in selected countries in Central and South America, Asia and Africa is also discussed.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.024
GPT teacher head0.257
Teacher spread0.234 · 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