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Record W7144351139 · doi:10.34444/00000119

豪州における遺伝子組換え体諸規制見直しの動向

2001· article· ja· W7144351139 on OpenAlexaboutno aff
Yasuo Watanabe

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2001
Typearticle
Languageja
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationCommercializationLegislatureGovernment (linguistics)Statutory lawRegulatory reformAuditGenetically modified organism

Abstract

fetched live from OpenAlex

Australia, the third largest agricultural exporter to Japan, has recently reformed its national regulatory schemes for genetically modified organisms (GMOs). Some genetically modified crops (GM crops) have already been grown on trial sites and might be commercialized soon under the new regulating schemes, which may affect Japan's imports from Australia. In addition, Australia, as a leading country of the Cairns Group, is one of the key players in international agricultural negotiations, where regulating GMOs has become a hot issue. Therefore, it shall be useful for Japanese authorities, traders and consumers to investigate details of recent regulatory reforms for GMOs in Australia. In this context, firstly, this report explores the recent regulatory reform of GMO dealings. For the past 13 years, the Genetic Manipulation Advisory Committee (GMAC) has overseen the use of gene technology. However, the system supervised by GMAC has no legislative backing ; compliance with GMAC guidelines and GMAC recommendations was voluntary. This meant that there was no legally enforceable way to audit or monitor the use of gene technology or to penalize breaches. But, the range of GMOs is being developed rapidly and some GMOs do not fall neatly within the existing regulations. Also, more GMOs are approaching the commercialization stage. In response to this situation, in December 2000, the Federal Government passed the Gene Technology Act 2000 (GT Act). The legislation came into force on 21 June 2001. The predominant feature of the GT Act is to establish an independent statutory office named the Gene Technology Regulator to administer the legislation and make decisions (e.g. risk assessments) under the legislation. The regulatory reform of labelling genetically modified food (GM food), as reviewed in the second chapter of the report, was another notable development in Australia. Food standard A18 approved by the Australia New Zealand Food Standards Council (ANZFSC) regulates GM food labelling in Australia and New Zealand. On 28 July 2000, ANZFSC agreed in principle to new labelling requirements for GM food. ANZFSC formally approved the revised standard on 24 November 2000. It was gazetted on 7 December 2000 and comes into effect on 7 December 2001. The new standard requires all GM foods and ingredients to be labelled where they contain novel DNA and/or novel protein in the final food or have altered characteristics. It means that some GM foods are required to be labelled even though they are substantially equivalent to conventional foods. However, as defined in A18, GM food labelling requirements have some exemptions such as the unintentional presence of a GM food not more than 1%. The revised GM food labelling standard will be almost as rigid as the EU standard. Finally, this report concludes with some expectations. Australia is lagging behind key trading rivals such as US, Canada and Argentina in the GM crop field. It seems that Australia has established a solid legislative basis, i.e. the GT Act, for the future commercialization of GM crops to catch up with its rivals of the world grain market. On the other hand, the revised GM food labelling standard might put Australia into a difficult position because the country has strongly accused such a rigid GM food standard as disguised protection against trade liberalization. Australia may change its strategy in future international negotiations for GM food standard.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.837
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.039
GPT teacher head0.271
Teacher spread0.231 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

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