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Record W3169262379 · doi:10.1017/s1474745621000112

Fishy SPS Measures? The WTO's <i>Korea – Radionuclides</i> Dispute

2021· article· en· W3169262379 on OpenAlexaff
Rachel Brewster, Carolyn Fischer

Bibliographic record

VenueWorld Trade Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsVictoryPanel dataPower (physics)LawInternational tradePolitical scienceBusinessEconomicsPolitics

Abstract

fetched live from OpenAlex

Abstract The Korea–Radionuclides case addresses Korean SPS measures imposed on Japanese fishery products after the Fukushima Dai-ichi nuclear plant meltdown in 2011. Japan challenged these measures as more restrictive than necessary under the SPS Agreement. The panel agreed with Japan, but this ruling was largely reversed by the Appellate Body. Korea's victory at the Appellate Body was based on procedure. The panel accepted Korea's appropriate level of protection (ALOP), which included both quantitative and qualitative elements. However, the Appellate Body found that the panel only addressed the quantitative aspect of Korea's ALOP and reversed on that basis. The Appellate Body's ruling did not affirmatively find that Korea's SPS measures were legal under WTO rules. Instead, the Appellate Body found that panel had not sufficiently addressed Korea's arguments and, thereby, the panel could not determine that the SPS measures were more restrictive than necessary. The case highlights the need for the Appellate Body to be able to conduct its own factual analysis, a power it could be given if the dispute settlement system is reformed. Without independent fact-finding power, the Appellate Body cannot correct panels’ mistakes, and respondents can prevail based on panel error.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.601
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.299
Teacher spread0.269 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2021
Admission routes1
Has abstractyes

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