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Record W2373718454

On analysis of the disagreement between TRIPs Agreement and Section 337 of the US Tariff Act

2010· article· en· W2373718454 on OpenAlexaboutno aff
Chen Yuan-fang

Bibliographic record

VenueJournal of Jinan University · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsTRIPS architectureSection (typography)ChinaTRIPS AgreementIntellectual propertyTariffCustoms unionSettlement (finance)International tradeCommissionConstructiveLawBusinessEconomicsPolitical scienceFinanceAdvertisingEngineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

Section 337 of the US Tariff Act often claimed the severest trade barrier in the world,which is the legal rule of imposing control over the imported goods infringing American intellectual property rights.It is U.S.International Trade Commission that investigates and rules the accusations of Section 337 violations.In recent years,the number of investigation into Chinese enterprises has soared to the top of the world,amounting to tens of billions dollars with worryingly low percentage of answering and winning lawsuits.It is China's countermeasure to follow European Union and Canada applying the multilateral dispute settlement mechanism to Section 337 to pushing US to modify the section.However,little argued is the relations between TRIPS and Section 337 of US Tariff Act.Quite a few articles about this hold that the section never violates TRIPS.This paper argues that this section not only violates the national treatment principle in TRIPS Article 3,but also disagrees with TRIPs Article 41,based on denouncing the claim that Section 337 goes with TRIPs.The feasibility is analyzed about applying Section 337 to WTO,and consequently some concrete and constructive operation advice is presented.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.008
GPT teacher head0.222
Teacher spread0.214 · 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.

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

Citations0
Published2010
Admission routes1
Has abstractyes

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