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Record W4416728462 · doi:10.1017/s1744133125100261

An opportunity to remove harmful intellectual property provisions from the Comprehensive and Progressive Agreement for Trans-Pacific Partnership

2025· article· en· W4416728462 on OpenAlexaff
Deborah Gleeson, Joel Lexchin, Brigitte Tenni, Ronald Labonté

Bibliographic record

VenueHealth Economics Policy and Law · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsUniversity of OttawaYork University
Fundersnot available
KeywordsIntellectual propertyGeneral partnershipContext (archaeology)Flexibility (engineering)PoliticsTrade agreement

Abstract

fetched live from OpenAlex

Legal provisions in trade agreements, including those related to intellectual property (IP), can impede access to medicines. The 12-party Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) is currently undergoing a review. This provides an opportunity to update the CPTPP's Intellectual Property Chapter to remove certain provisions that were negotiated in the context of its precursor, the Trans Pacific Partnership (TPP), many of which have been suspended. These include several 'TRIPS-Plus' provisions - IP provisions exceeding the requirements of the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS). This paper reviews the CPTPP's TRIPS-Plus provisions, including those suspended and those still in place, and argues for their removal based on evidence of their likely effects on medicines access and recent changes in the political environment. Since the CPTPP was signed in 2018, accumulated evidence has demonstrated that TRIPS-Plus provisions negatively impact access to medicines. Lack of access to COVID-19 medical products in low- and middle-income countries has highlighted major problems with TRIPS. Furthermore, the US has diverged from a TRIPS-Plus agenda, rendering the suspended provisions obsolete. Removing the CPTPP's TRIPS-Plus provisions, while challenging, would preserve Parties' policy flexibility to design their laws in ways that protect access to medicines.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.718
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.105
GPT teacher head0.366
Teacher spread0.261 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2025
Admission routes1
Has abstractyes

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