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Record W2131281946 · doi:10.1017/s0032247412000174

The EU ban on the import of seal products and the WTO regulations: neglected human rights of the Arctic indigenous peoples?

2012· article· en· W2131281946 on OpenAlexaboutno aff
Kamrul Hossain

Bibliographic record

VenuePolar Record · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousInternational tradeArcticThe arcticSeal (emblem)Human rightsPolitical scienceIndigenous rightsBusinessEnvironmental protectionGeographyLawOceanographyEcologyArchaeologyBiology

Abstract

fetched live from OpenAlex

ABSTRACT The EU ban on the import and commercialising of seals and seal products in the EU market, has attracted intense attention in recent years. As seal products mostly originate from outside the EU, it is argued that the EU action has been discriminatory and hence contrary to the WTO regulations. Canada and Norway have been critical of the EU regulation and have initiated dispute settlement procedures within the WTO since most of the products that enter into the internal market are mainly from these countries. The ban also provoked anger within the Inuit and other indigenous communities, mainly from Canada and Greenland. Although the EU regulation provides an exception for Inuit and indigenous hunts and the subsequent commercialisation of resulting products into the internal market, the exception suffers from clarity and lacks proper implementation procedures. The regulation is predicted to lead to the ultimate disappearance of the seal market in the EU, which directly affects the Inuit and other indigenous peoples engaged in sealing activities. They may lose their means of subsistence. While analysing the critical issues concerning the EU and the WTO regulations and its exceptions, the article focuses on the human rights perspective of the Arctic indigenous peoples affected by the EU ban.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.002
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 head0.022
GPT teacher head0.285
Teacher spread0.264 · 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.

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

Citations3
Published2012
Admission routes1
Has abstractyes

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