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Record W2115464089 · doi:10.1162/152638005774785444

The Cartagena Protocol on Biosafety and Shifts in the Discourse of Precaution

2005· article· en· W2115464089 on OpenAlexaboutno aff
Peter Andrée

Bibliographic record

VenueGlobal Environmental Politics · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
Fundersnot available
KeywordsFraming (construction)Precautionary principleHarmTreatyBiosafetyConvention on Biological DiversityPolitical scienceLaw and economicsMontreal ProtocolEnvironmental ethicsPoliticsContext (archaeology)Variety (cybernetics)ConventionSociologyLawBiodiversityBiologyBiotechnologyGeography

Abstract

fetched live from OpenAlex

The precautionary principle is increasingly recognized as an important tool in multilateral environmental policy making, even as its practical implications remain the subject of intense debate. Drawing on Foucault's reading of discursive politics, this paper traces the emergence and effects of a specific framing of a precautionary response to new technologies found in the 2000 Cartagena Protocol on Biosafety to the Convention on Biological Diversity. This international treaty enables states to restrict imports of specific classes of genetically modified organisms (GMOs), even if the extent of the harm they may cause remains uncertain. This particular framing of precaution in an environmental treaty is novel for its application to technologies yet to be demonstrated as harmful, and can only be understood in the context of the contentiousness of controversies over GMOs, bovine spongiform encephalopathy (BSE), and hormone-injected beef in the 1990s. At the same time, what might be termed the “Cartagena discourse of precaution” has already had productive effects on a variety of other policy fields including the regulation of persistent organic pollutants and pesticides.

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)0.000
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 score0.928
Threshold uncertainty score0.118

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 head0.013
GPT teacher head0.269
Teacher spread0.256 · 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

Citations20
Published2005
Admission routes1
Has abstractyes

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