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Record W7025587869

WIPO's Development Agenda and the push for development-oriented capacitybuilding on intellectual property: How poor governance, weak management, and inconsistent demand hindered progress

2016· other· en· W7025587869 on OpenAlexfundno aff

Bibliographic record

VenueEconstor (Econstor) · 2016
Typeother
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
FundersInternational Development Research CentreJohn D. and Catherine T. MacArthur Foundation
KeywordsIntellectual propertyCorporate governanceDeveloping countryScope (computer science)Civil societyPoliticsPower (physics)Property rights
DOInot available

Abstract

fetched live from OpenAlex

In 2004, developing countries and civil society groups called for a new Development Agenda at the World Intellectual Property Organization (WIPO). After three years of debate, they secured the adoption by WIPO Member States of the 2007 WIPO Development Agenda, comprising 45 recommendations for making development considerations an integral part of the organization's work, including in the area of capacity-building for developing countries. To date, however, there has been no scholarly analysis of trends in WIPO's assistance to developing countries. This paper argues that progress toward more development-oriented assistance in the decade following the call for a WIPO Development Agenda was disappointing. It proposes that greater movement toward more development-oriented WIPO assistance in the period from 2004 to 2015 was impeded by three intersecting factors: WIPO's weak governance system; poor management on the part of the WIPO Secretariat; and inconsistent demand for development-oriented assistance by recipient countries. In so doing, this paper acknowledges that the global politics of intellectual property (IP) protection and power asymmetries were background conditions that imposed real constraints on the scope for improvement, but argues that better governance and management of WIPO along with more consistent, strategic demand from intended beneficiaries could nonetheless have facilitated progress toward stronger-development orientation.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.311
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.019
GPT teacher head0.222
Teacher spread0.203 · 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
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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