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Record W3126132954

Market Competition in Aid of Humanitarian Concern: Reconsidering Pharmaceutical Drug Patents

2010· article· en· W3126132954 on OpenAlexaff
Michael Ilg

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPatentabilityIncentiveIntellectual propertyMonopolyBusinessCompetition (biology)Value (mathematics)Industrial organizationCommerceEconomicsInternational tradeMarketingMarket economyLawPatent lawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The grant of monopoly patent protection isjustified normally as a means for giving incentive for innovation.Market-driven innovation is not necessarily equitable, however, and the development concerns over the international intellectual property regime governing the products of medical research are particularly pressing given the basic necessities involved.The market patent system may be said to fail individuals in developing countries in regards to both focus and access, as no incentive is given for research into maladies not present in wealthy marketplaces; or even if a medicine is universally required, then access is precluded economically from the poor.The following paper considers recently popular prize fund alternatives to the patent system, and arrives at a new alternative that is based upon market reward and the retention of patentability.The proposal offered attempts to incorporate global health measures into a competitive system of tradable patent terms.Under this proposal pharmaceutical advances which serve a humanitarian purpose would receive a patent term that is severable from the originating idea or formula, so as to become a free-floating and tradable patent term.Discoveries of humanitarian medicines, or their donation, may in this manner achieve market value through the trade and application of the floating protection term to another, more commercially viable pharmaceutical product.Ideally, this proposal would serve to equate advances of a humanitarian and non-market nature with the most lucrative market drugs, and to further have blockbuster drug sales indirectly finance humanitarian advances.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0160.000

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 head0.179
GPT teacher head0.263
Teacher spread0.084 · 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
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

Citations1
Published2010
Admission routes1
Has abstractyes

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