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Record W4323352171 · doi:10.1111/jwip.12267

Lessons from India and Thailand for Cambodia's future implementation of the TRIPS Agreement for pharmaceutical patents

2023· article· en· W4323352171 on OpenAlexaff
Brigitte Tenni, Joel Lexchin, Sovath Phin, Chalermsak Kittitrakul, Deborah Gleeson

Bibliographic record

VenueThe Journal of World Intellectual Property · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsYork University
FundersLa Trobe University
KeywordsTRIPS architectureIntellectual propertyTRIPS AgreementBusinessAccess to medicinesDeveloping countryEssential medicinesEconomic growthInternational tradePolitical scienceEconomicsLawHealth careEngineering

Abstract

fetched live from OpenAlex

Abstract Cambodia is expected to graduate from least developed country (LDC) status in the near future, at which time it will be required to make patents available for pharmaceutical products and processes to meet its obligations under the Agreement on Trade Related Aspects of Intellectual Property Rights (TRIPS). Given its impending transition from LDC status, there is a need to balance Cambodia's intellectual property (IP) policies and regulations with public health priorities to ensure access to affordable life‐saving medicines. This will be critical to achieving universal health coverage, one of the United Nations' Sustainable Development Goals. This paper examines Cambodia's IP laws and regulations to identify provisions which could reduce access to affordable generic medicines when it starts to grant patents for pharmaceuticals. It systematically compares Cambodia's IP laws and regulations applicable to patents with those of Thailand and India—two developing countries which have had some successes in preserving access to medicines despite the introduction of pharmaceutical patents. It identifies lessons for Cambodia from the experiences of Thailand and India in implementing TRIPS and using TRIPS flexibilities such as compulsory licensing to ensure access to a sustainable supply of affordable generic medicines. India's experience of implementing TRIPS offers a practical and valuable lesson in applying TRIPS for the greatest public benefit. Thailand, although it has not utilised TRIPS flexibilities as extensively as India, also offers valuable lessons in adapting and interpreting IP law to ensure sustainable access to generic medicines, especially in relation to compulsory licencing. Key recommendations for reform for Cambodia include strengthening the use of preventive and remedial TRIPS flexibilities and removing criminal sanctions for patent infringements. Cambodia should reject any TRIPS‐plus provisions in its patent legislation, avoid membership of bilateral or plurilateral trade agreements that include TRIPS‐plus provisions and avoid signing patent treaties and agreements designed to facilitate the granting of patents.

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)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0060.008
Scholarly communication0.0120.006
Open science0.0020.005
Research integrity0.0060.012
Insufficient payload (model declined to judge)0.0110.001

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 head0.171
GPT teacher head0.315
Teacher spread0.144 · 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 designQualitative
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

Citations7
Published2023
Admission routes1
Has abstractyes

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