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Record W2255243515 · doi:10.1515/9780773575080-011

The Development Agenda at WIPO: Where is Canada?

2008· book-chapter· en· W2255243515 on OpenAlexaboutno aff
Sara Bannerman

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2008
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsnot available
Fundersnot available
KeywordsIntellectual propertyAllegiancePolitical sciencePoliticsPosition (finance)Developing countryLaw and economicsLawEconomic growthSociologyBusinessEconomics

Abstract

fetched live from OpenAlex

What role have developed countries, and Canada in particular, played in creating a development agenda for the World Intellectual Property Organization (WIPO)? In this chapter I review the discussions at WIPO that resulted in an agreed development agenda in 2007, the positions taken on the issues addressed, and Canada's position and role within the debates. I argue that, in the initial phases of the development agenda discussions, Canada's allegiance to the group of industrialized nations had loosened somewhat, and that Canada took the position of a middle power, forming a bridge between developed and developing countries. I then argue that, in the less polarized debates that have followed, Canada and other developed countries encouraged the discussions along, allowing many of the less challenging proposals to pass, and softening more radical proposals. Developed countries as a whole have blocked or softened numerous proposals, such as those that called for major institutional changes at WIPO, proposals that encouraged too strongly the exploitation of public-interest flexibilities built in to intellectual property treaties, proposals that fell too far outside WIPO's focus on intellectual property, and proposals that called for new intellectual property treaties. Finally, I explain the positions taken by Canada from five perspectives: first, as an international political/economic strategy; second, as a domestic strategy catering to Canadian interest groups; third, as a function of traditional party politics; fourth, from the perspective of intellectual property policy directions being taken at a domestic level; and finally, as a function of conditions within the international intellectual property system.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.216
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.057
GPT teacher head0.178
Teacher spread0.121 · 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

Citations3
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueMcGill-Queen's University Press eBooksSame topicIntellectual Property and PatentsFrench-language works237,207