MétaCan
Menu
Back to cohort
Record W2594312497

Properly Protecting Code: Solving Copyright and Patent Rights Overlap via Computer Software Suitability in Copyright

2013· article· en· W2594312497 on OpenAlex
Maximilian Paterson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsYork University
Fundersnot available
KeywordsIntellectual propertyLaw and economicsFair useSoftwareOrder (exchange)CreativityCompetition (biology)Public domainCode (set theory)Copyright ActCopyright lawExclusive rightBusinessComputer scienceLawEconomicsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Over the past several decades an expansion of coverage has evolved in individual intellectual property rights, especially copyright and patent. This expansion has caused overlap to occur between rights, thus allowing for an inefficient intellectual property regime that permits overreaching protection, ultimately running counter to the bargain agreed to for each individual right. The overlap between copyright and patent has especially proven to be problematic when applied to computer software. A theoretical solution to this overlap is the exclusion of copyright protection to computer software, due to its unsuitability to be considered copyrightable material and the obtuseness when applying traditional “physical” copyright qualification to it. Despite the practical difficulties of implementing this expungement, it is crucial that options such as this be considered in order to better foster innovation, competition, and creativity in this technical area.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.004
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.194
Teacher spread0.179 · 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