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Record W2610075272

Organic versus GM agriculture in the courtroom in Australia and the United States

2016· article· en· W2610075272 on OpenAlexaboutno aff
Michael Blakeney

Bibliographic record

VenueUWA Profiles and Research Repository (University of Western Australia) · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
Fundersnot available
KeywordsOrganic farmingAgricultureBusinessAgricultural economicsAgricultural sciencePolitical scienceLawEnvironmental scienceGeographyEconomicsArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This article looks at two 2014 cases concerning the threat to organic farming from genetically modified (GM) agriculture. The first, March v. Baxter in the Supreme Court and Court of Appeal of Western Australia, concerned a dispute between two neighboring farmers in which one claimed that the loss of his organic certification was attributed to the harvesting practices of his GM-producing neighbor. The second, Organic Seed Growers and Trade Association et al. v. Monsanto, concerned an unsuccessful application by a number of farmers' organizations in the United States seeking a declaration that, should their crops become contaminated by the adventitious presence of patented genetic material, they should not be sued for patent infringement. The Australian case, which was a world's first between neighboring farmers, made some useful comments on organic certification practices. The US decisions in the Southern District of New York and the Court of Appeals laid to rest some of the concerns that had been raised in the Canadian Schmeiser case about the liability of farmers for innocent patent infringement.

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)0.000
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 score0.778
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.084
GPT teacher head0.294
Teacher spread0.210 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2016
Admission routes1
Has abstractyes

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