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Record W2169253622 · doi:10.1186/1744-8603-3-12

Canada's implementation of the Paragraph 6 Decision: is it sustainable public policy?

2007· article· en· W2169253622 on OpenAlexafffundabout
Jillian Clare Cohen-Kohler, Laura Esmail, Andre Perez Cosio

Bibliographic record

VenueGlobalization and Health · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health ResearchConnaught FundUniversity of Toronto
KeywordsLegislationPopulationDeveloping countryIncentiveBusinessGovernment (linguistics)EconomicsPublic administrationEconomic growthLawPolitical scienceMedicineEnvironmental healthMarket economy

Abstract

fetched live from OpenAlex

BACKGROUND: Following the Implementation of Paragraph 6 of the Doha Declaration on TRIPS and Public Health, Canada was among the first countries globally to amend its patent law, which resulted in Canada's Access to Medicines Regime (CAMR). CAMR allows the production and export of generic drugs to developing countries without the requisite manufacturing capacity to undertake a domestic compulsory license. CAMR has been the subject of much criticism lodged at its inability to ensure fast access to urgent medicines for least developing and developing countries in need. Only recently did the Canadian government grant Apotex the compulsory licenses required under CAMR to produce and export antiretroviral therapy to Rwanda's population. METHODS: The objective of this research is to investigate whether the CAMR can feasibly achieve its humanitarian objectives given the political interests embedded in the crafting of the legislation. We used a political economy framework to analyze the effect of varied institutions, political processes, and economic interests on public policy outcomes. In-depth, semi-structured interviews were conducted with nineteen key stakeholders from government, civil society and industry. Qualitative data analysis was performed using open-coding for themes, analyzing by stakeholder group. RESULTS: CAMR is removed from the realities of developing countries and the pharmaceutical market. The legislation needs to include commercial incentives to galvanize the generic drug industry to make use of this legislation. CAMR assumes that developing country governments have the requisite knowledge and human resource capacity to make use of the regime, which is not the case. The legislation does not offer sufficient incentives for countries to turn to Canada when needed drugs may be procured cheaply from countries such as India. In the long term, developing and least developing countries seek sustainable solutions to meet the health needs of their population, including developing their own capacity and local industries. CONCLUSION: CAMR is symbolically meaningful but in practice, limited. The Rwanda case will be noteworthy in terms of the future of the legislation. To meet its intended international health objectives, this legislation needs to be better informed of developing country needs and global pharmaceutical market imperatives. Finally, we contend that serious public policy change cannot strike a balance between all vested interests. Above all, any feasible policy that aims to facilitate compulsory licensing must prioritize public health over trade or economic interests.

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)0.023
metaresearch head score (Gemma)0.080
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.811
Threshold uncertainty score0.941

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.080
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0300.017
Scholarly communication0.0240.006
Open science0.0050.006
Research integrity0.0240.018
Insufficient payload (model declined to judge)0.0160.002

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 head0.064
GPT teacher head0.372
Teacher spread0.308 · 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

Citations18
Published2007
Admission routes3
Has abstractyes

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