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Record W3096365992 · doi:10.46850/elni.2016.007

Exploring CETA’ s Relation to Environment Law

2016· article· en· W3096365992 on OpenAlexaboutno aff
Delphine Misonne

Bibliographic record

Venueelni Review · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsRatificationEnvironmental lawTreatyInternational economic lawInternational tradeEuropean unionInvestment (military)Investment protectionBusinessScholarshipPolitical scienceLawInternational lawPublic international lawForeign direct investmentPolitics

Abstract

fetched live from OpenAlex

This article gives an introduction on the potential impact of CETA on environmental law. CETA – The Comprehensive Economic and Trade Agreement negotiated between Canada, the European Union and its 28 Member States, still awaiting ratification – is likely to have an impact on environmental law, even if it cannot be categorized as an environmental treaty. CETA provides a definition of what environmental law means, it mentions that “it is inappropriate to encourage trade or investment by weakening the levels of protection afforded in their environmental law,” it establishes a panel of experts which must have specialized knowledge or expertise in environmental law, it reaffirms “the rights of the Parties to regulate to achieve legitimate policy objectives, such as the protection of public health and the environment,” it mentions that “Parties are committed to high levels of protection for the environment” but also adds that this is “in accordance to the TBT Agreement, the SPS Agreement, the GATT 1994, the GATS and this Agreement,” it contains a whole chapter on ‘Trade and Sustainable Development’ and a whole chapter on ‘Trade and Environment.’ But the question must be asked of whether it sufficiently captures and accommodates the possible confrontation between a trade vision and an investment-protection vision. In that regard, scholarship and UNEP have been long quite clear that the transition towards a greener economy, even if fully WTO-consistent, could include considerable drawbacks from the application of investment disciplines – through the possible award of substantial amounts in damages. CETA seeks definitely to carve out more space for environmental regulation within investment disciplines, but does it go far enough?

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)0.011
metaresearch head score (Gemma)0.022
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 score0.987
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.022
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.003
Science and technology studies0.0100.028
Scholarly communication0.0210.018
Open science0.0020.013
Research integrity0.0150.022
Insufficient payload (model declined to judge)0.0160.002

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 head0.096
GPT teacher head0.242
Teacher spread0.145 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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