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Record W51974226 · doi:10.25071/1929-8404.34702

Trade Agreements and Pharmaceutical Patent Protection: Implications for the Governance over Pharmaceutical Products in Canada

2012· article· en· W51974226 on OpenAlexaffvenueabout
Danalyn Byng

Bibliographic record

VenueHealthy Dialogue · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsYork University
Fundersnot available
KeywordsBusinessIntellectual propertyPharmaceutical industryGovernment (linguistics)RevenueCorporate governanceLegislationInternational tradeProfit (economics)CommerceIndustrial organizationEconomicsFinanceLawBiotechnology

Abstract

fetched live from OpenAlex

This paper was prepared for a course on Canadian health policy. Its purpose is to expose the harmful ramifications of international trade agreements on the pharmaceutical market in Canada and the governance surrounding this market. This paper will explore the various implications that trade agreements have on the affordability of drugs, the strength of intellectual property protection, and the transfer of authority and influence from government to “Big Pharma.” This paper will unravel the reality that trade agreements are not beneficial to the Canadian people looking to access an affordable pharmaceutical market, but rather, act quite contrary to this. Facts will show that trade agreements work to put money into the pockets of large brand-name pharmaceutical companies in the forms of billions of dollars of revenue and profit. This paper will encourage readers to question the feasibility of extending patent legislation for brand-name pharmaceutical products, the increasing role of trade agreements and the pharmaceutical industry in Canada, and the substitutability of brand-name drugs over cheaper generic alternatives.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.218
GPT teacher head0.337
Teacher spread0.119 · 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 designObservational
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

Citations0
Published2012
Admission routes3
Has abstractyes

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