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Record W2009435282 · doi:10.1504/ijtpl.2012.045942

WIPO and the ACTA threat

2012· article· en· W2009435282 on OpenAlexafffund
Sara Bannerman

Bibliographic record

VenueInternational Journal of Technology Policy and Law · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Studies and Reforms
Canadian institutionsMcMaster University
FundersSocial Sciences and Humanities Research Council of CanadaGeorge Washington University
KeywordsIntellectual propertyTRIPS architectureTRIPS AgreementPolitical scienceNorm (philosophy)ConventionLaw and economicsInstitutionLawSociologyEngineering

Abstract

fetched live from OpenAlex

The Anti-Counterfeiting Trade Agreement (ACTA) has been seen as a potentially existential threat to the existing World Intellectual Property Organization (WIPO). The ACTA threat to WIPO has a number of predecessors. WIPO’s centrality to international intellectual property norm-setting encountered its first major challenge in 1952 when the Universal Copyright Convention was established under UNESCO. It encountered a second major challenge with the establishment of the Agreement on Trade-Related Aspects of Intellectual Property (the TRIPs Agreement). The ACTA challenge thus potentially represents a third instance where a major competing norm-setting institution has challenged WIPO. This paper outlines the main proposals for an ACTA institution, the various possible forms that an ACTA-WIPO relationship could take, and various strategies that WIPO could use to maintain its role in the international intellectual property system. Finally, it reviews a number of public policy concerns that the institutional proposals for ACTA pose.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0090.023
Scholarly communication0.0140.013
Open science0.0010.007
Research integrity0.0140.013
Insufficient payload (model declined to judge)0.0140.002

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 head0.012
GPT teacher head0.330
Teacher spread0.319 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2012
Admission routes2
Has abstractyes

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