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Record W2342889802 · doi:10.60082/2817-5069.3042

The Objectives and Principles of the WTO TRIPS Agreement: A Detailed Anatomy

2016· article· en· W2342889802 on OpenAlexvenueno aff
Alison Slade

Bibliographic record

VenueOsgoode Hall law journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsTRIPS architectureDeferenceTRIPS AgreementConsistency (knowledge bases)DeclarationPolitical scienceLaw and economicsAutonomyLawScope (computer science)General partnershipSociologyPublic relationsPublic administrationIntellectual propertyComputer science

Abstract

fetched live from OpenAlex

Article 7 (Principles) and Article 8 (Objectives) are prominent within the text of the WTO TRIPS Agreement, yet have figured sparingly in the reasoning of the Dispute Settlement Body (DSB). This discrepancy is accentuated when considered in light of three key factors. First, the pioneering step taken by TRIPS negotiators to include broad declarations of intent within the operative text. Second, the 2001 reinforcement given to these provisions in the Doha Declaration on TRIPS and Public Health. Finally, the verbatim replication of these provisions within other international IP instruments, notably, the Trans-Pacific Partnership, the Anti-Counterfeiting Trade Agreement and the WIPO Development Agenda. Taken together, these factors compel a greater investigation into the meaning and application of Articles 7 and 8. This article aims to contribute to this enquiry by exposing the individual elements of each provision to a detailed textual analysis. As will be demonstrated, necessity, reasonableness, consistency and good faith are legal principles found within Articles 7 and 8. Additionally, these provisions recognise a pivotal interpretative principle—that of national regulatory autonomy. This includes, but goes beyond, deference to national policy choices, to recognising a state-centric method of calibration that must guide the application of TRIPS and any other agreement within which they are incorporated.

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 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 score0.905
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.015
GPT teacher head0.261
Teacher spread0.246 · 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 designTheoretical or conceptual
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

Citations10
Published2016
Admission routes1
Has abstractyes

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