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Record W2418308875 · doi:10.4337/9781783476237.00025

Multilateral environmental agreements and illegality

2016· book-chapter· en· W2418308875 on OpenAlexaboutno aff
Antonio Cardesa Salzmann

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2016
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicWildlife Conservation and Criminology Analyses
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceBusiness

Abstract

fetched live from OpenAlex

Chapter 19Multilateral environmental agreements and illegality Antonio Cardesa-Salzmann hazardous wastes or other wastes is to be considered as criminal (Basel Convention Article 4(3)).While some consider this particular wording as 'fairly rhetorical' (Kummer 1999, p. 70), in actuality, states must enact implementing legislation -inter alia, criminal measures -and 'seek enforcement vis-à-vis private parties that act in contravention of the provisions of the convention (or, rather, in contravention of the national provisions that give effect to the convention)' (Nollkaemper 2002, p. 170; Basel Convention Article 4(4)). 2 In the context of the European Union, for example, Directive 2008/99/EC of the European Parliament and of the Council on the protection of the environment through criminal law harmonizes the member states' legislation, amongst other things, with respect to environmentally harmful conducts -whether committed intentionally or with negligence -that are to be typified as criminal offences.Amongst others, these include shipments of waste, trade in specimens of protected wild fauna or flora species, as well as the production, importation, exportation, placing on the market or use of ozone depleting substances (ODSs) (Directive 2008/99/EC Article 3(c), (g), (i)).These provisions had to be 'transposed', that is, incorporated, into the respective national legal orders and fully implemented by law enforcement bodies (customs, police and prosecutors) and the judiciaries of each Member State by the end of December 2010.3 Yet, in addition to weak national domestic enforcement capacities, especially in developing countries, one of the pervasive challenges for regime effectiveness that MEAs face is their uneven degree of incorporation into domestic legal orders of all states parties.Needless to say, substantive mismatches in the implementation and enforcement of domestic legislative measures that incorporate central provisions of MEAs on illicit trade in controlled commodities create legal loopholes that allow transnational black markets to flourish.2 Similar wording is found in CITES Article VIII(1) and, in more general terms, also in the Vienna Convention for the Protection of the Ozone Layer Article 2(2)(b), which serves as a framework convention to the Montreal Protocol.3 See all national implementation measures at (accessed

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)0.012
metaresearch head score (Gemma)0.024
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: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.027
Scholarly communication0.0070.009
Open science0.0020.013
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0070.000

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 head0.025
GPT teacher head0.219
Teacher spread0.194 · 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
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

Citations3
Published2016
Admission routes1
Has abstractyes

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Same venueEdward Elgar Publishing eBooksSame topicWildlife Conservation and Criminology AnalysesFrench-language works237,207