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Record W2098112262 · doi:10.1080/13880292.2011.583578

'Morality' May Not Be Enough to Justify the EU Seal Products Ban: Animal Welfare Meets International Trade Law

2011· article· en· W2098112262 on OpenAlexaboutno aff
Peter L. Fitzgerald

Bibliographic record

VenueSSRN Electronic Journal · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsEuropean unionInternational tradeCommissionPolitical scienceEuropean commissionWelfareSeal (emblem)LawBusinessLaw and economicsEconomics

Abstract

fetched live from OpenAlex

Under recent European Union regulations promulgated with overwhelming popular support, seal products may neither be placed on the European market internally nor imported into the EU. As a result Canada, Norway, and Iceland – all states that deal in seal products – filed complaints with the World Trade Organization, contending that the EU’s actions were contrary to its commitments to free trade under international trade agreements. Many animal advocates hope this will be the first case to establish that the General Exception found in Article XX(a) of the General Agreement for Tariffs and Trade (GATT), for measures that are “necessary to protect public morals,” can be used to justify animal welfare laws that otherwise adversely affect trade. Unfortunately, this hope may be misplaced, not because such measures don’t fit within Article XX(a), but rather because of the specific manner in which the EU chose to implement its regulatory ban. The regulations implementing the EU seal products ban include exclusions and exceptions that fail to distinguish between humane and inhumane practices, and which nevertheless permit some seal products to be placed on the market in the EU, or – perhaps even more significantly – to transit the EU to other markets thereby protecting the business of European brokers and forwarders. While much of the commentary to-date has focused on the regulatory exception for traditional seal hunts conducted by Inuits and other indigenous peoples, it is these other additional exceptions and exclusions that were added to the European Commission’s initial proposal during the political approval process that may well prove to be more problematic in any decision by the WTO Dispute Settlement Body. Ironically, the initial scheme not only better served animal welfare interests but, given the DSB’s emphasis upon a narrow textual interpretation of the WTO agreements, the tighter initial scheme would also have been more likely meet the requirements of Article XX.While animal welfare polices, in appropriate cases, certainly should fit under Article XX(a) General Exception for measures “necessary to protect public morals,” the details of this particular regulatory scheme do not comport with either the “necessity” requirement of the exception, or the requirement to avoid “arbitrary and unjustifiable discrimination” imposed by the chapeau. It may be that the best that can be expected is a decision similar to what occurred with the US environmental measures at issue in Shrimp-Turtle II, that is, a pronouncement that the “public morals” exception might well be useful in an animal welfare context, but that such measures must also respect the rights of exporting States under the WTO Agreements in a manner which this particular regulatory scheme fails to do. The EU will then need to decide whether to essentially ignore the WTO decision, and bear the costs of compensation or retaliation, or – in a manner similar to what ultimately occurred in Shrimp-Turtle or the Australia-Salmon cases, remedy the deficiencies in the current scheme and more fully embrace the animal welfare objective and abandon the various exceptions and gaps in coverage found in the current regulations.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
models splitAgreement compares identical category sets and study designs across arms.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.034
GPT teacher head0.289
Teacher spread0.255 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Theoretical or conceptual
Domainnot available
GenreEmpirical · Commentary

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

Citations14
Published2011
Admission routes1
Has abstractyes

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