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International Law and GMOs: Can the Precautionary Principle Protect Biological Diversity?

2007· article· es· W2128991941 on OpenAlexaboutno aff

Bibliographic record

VenueBoletín Mexicano de Derecho Comparado · 2007
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
Fundersnot available
KeywordsPrecautionary principleConvention on Biological DiversityEnvironmental lawDiversity (politics)Law and economicsInternational lawBusinessBiodiversityNatural resource economicsEnvironmental ethicsPolitical scienceEconomicsLawEcologyBiologyPhilosophy

Abstract

fetched live from OpenAlex

Número 118Enero - Abril 2007ISSN 0041 8633 INTERNATIONAL LAW AND GMOS: CAN THE PRECAUTIONARY PRINCIPLE PROTECT BIOLOGICAL DIVERSITY? Juan Antonio HERRERA I.* La expansión en la producción, distribución y consumo de organismos genéticamente modificados ha dado como resultado discusiones a favor y en contra de los mismos y su regulación jurídica. La autora del presente estudio nos expone los diversos escenarios en los que se desenvuelven controversias tales como las restricciones que se les han hecho a los grandes productores como Estados Unidos de América, Canadá y Argentina para comercializar sus productos por parte de la Organización Mundial de Comercio. Pero sobre todo, se trata de hacer un análisis global sobre el principio de precautoriedad que afecta diversos intereses jurídicos y económicos, de necesaria existencia por considerarse como un derecho fundamental el derecho a un medioambiente sano. Palabras clave: biogenética, seguridad, diversidad biológica. * Profesor de la Universidad Autónoma de Tamaulipas y candidato a doctor por la Universidad de Dalhousie. * Nota: Debido que la traducción es automática podrá ser inexacta o contener errores.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.967

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.293
Teacher spread0.238 · 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

Citations6
Published2007
Admission routes1
Has abstractyes

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