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Record W6981063550

The Development of an Expectations Theory of Patent Law by Creating a Nexus with John Locke's Theory of Private Property

2023· article· en· W6981063550 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and biodiversity studies
Canadian institutionsnot available
Fundersnot available
KeywordsNexus (standard)Patent lawProperty (philosophy)Patent applicationIntellectual propertyDevelopment (topology)Patent ActInvention
DOInot available

Abstract

fetched live from OpenAlex

Abstract\nThis thesis reviews the Lockean justification of private physical property as an explanation for patent “property,” identifies its weaknesses, and modifies it to create a new theory of patent law based on expectations. After describing the characteristics of technical information, that description is applied to three different interpretations of the Lockean condition which demonstrate a strain in defining technical knowledge as property. The technical information paradigm is then applied to an expectations theory, which demonstrates a broad connection to the Lockean conditions, but maintains a fit within a wider patent law interpretation. The expectations theory also creates an avenue for reintroducing utility assessments of patents and setting flexible patent terms. An example of a new medicine is used to test the various forms of the Lockean condition and the expectations model.\nThe historical development of modern patent law is reviewed then separated into two periods, which are subsequently generalized. While the early period prioritized utility assessments, working requirements and the individualization of patent terms, the later period minimized the importance of utility and working requirements, but prioritized inventiveness. The three different Lockean conditions, along with the expectations theory, are applied to the generalized form of each historical era. While each form of the Lockean condition illustrates a unique relationship to the patent law eras, the expectations model provides an encompassing explanation because of its fitness with the definition of technical information.\nThe analysis demonstrates that patent law can be categorized as either strong form patent law or weak form patent law, based on what can be expected from it. While the strong form creates an expectation of a societal benefit from a patent beyond simply disclosing it, the weak form does not. The utility assessments of patents in the first era, along with the individualization of patent terms meant that the first era exhibited strong form patent law. The loss of utility assessments, working requirements, and adjustable patent terms during the second era characterize it as weak form. While nonobviousness narrowed the scope of patent to things that were truly innovative in the second era, it was not a sufficient basis for ensuring that a Lockean bargain was achieved.\nThe modified expectations model is then applied to Canada’s pharmaceutical patent law history to demonstrate how Canada’s patent law with respect to pharmaceuticals changed from strong form to weak form once it relinquished its compulsory licensing provisions, leaving few expectations from foreign-registered pharmaceutical patents by the early nineties.\nThe pharmaceutical patent law history of Canada also illustrates the difference in competitors that a modified Lockean theory of patent law creates – close competitors who can act upon each other’s patented information and far competitors, where one competitor cannot act upon the other’s patented technological information that it patents. The closest competitors need not rely on any mechanisms like working requirements or compulsory licenses to achieve the patent bargain because their ability to use the patented information arises in a reciprocal fashion, as suggested by Locke’s original enough and as good condition. With far competitors, however, the patent bargain is not as easily attainable because of the inability of the patent grantor to use the patented information to extend the knowledge or employ it after patent expiry. Overall, the close competitor/far competitor distinction reveals the specificity of patent “property” (technical knowledge) that makes it challenging to transfer it to others, in contrast from Locke’s general physical property model, which easily transfers interchangeable land from person to person.\nThe thesis concludes with a practical application of an expectations model to demonstrate its use beyond macro-analysis to the micro-analysis of patents. Employing a Canadian patent case adjudicated at the Federal Court and the Federal Court of Appeal, the analysis demonstrates the use of utility parameters in evaluating patents, creating patent score cards which can eventually be used as a database for evaluating the utility of future patents and setting patent terms accordingly.

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)0.010
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.001
Science and technology studies0.0020.018
Scholarly communication0.0070.015
Open science0.0020.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.085
GPT teacher head0.262
Teacher spread0.177 · 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 designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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