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Record W2267875147

The World Trade Organization Obligations and Legislative Policy: Choices in Developing Countries for Biotechnology

2013· article· en· W2267875147 on OpenAlexaff
Ramesh Bikram Karky, Mark Perry

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsConestoga College
Fundersnot available
KeywordsWorld tradeLegislatureInternational tradeDeveloping countryBusinessInternational economicsEconomicsPolitical scienceEconomic growthLaw
DOInot available

Abstract

fetched live from OpenAlex

Many developing and least-developed nations are exporters of conventional agricultural products, and such products have traditionally been free of genetically modified (GM) material in the international market. Now the scenario has changed, and they are facing issues for international market access. These countries have had genetically modified products introduced into their markets without their consent or knowledge. For example, it has been reported that soybean farmers in Argentina have used unlicensed ('brown bagged' in GM crop parlance) genetically engineered seed from Brazil, and that Bt cotton was in the fields in India before any governmental approval. Research on seeds smuggled in from other countries indicates that a regulated seed market would be safer than the current illegal market. When people adopt GM crops in a free-for-all atmosphere, it holds potential dangers.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.025
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0070.007
Scholarly communication0.0130.009
Open science0.0010.003
Research integrity0.0130.009
Insufficient payload (model declined to judge)0.0100.002

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 head0.030
GPT teacher head0.229
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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