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Record W2256463645 · doi:10.1017/s0841820900006603

A Rights-Based View of the Idea/ Expression Dichotomy in Copyright Law

2003· article· en· W2256463645 on OpenAlexaff
Abraham Drassinower

Bibliographic record

VenueCanadian Journal of Law & Jurisprudence · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPlaintiffPublic domainOpposition (politics)Expression (computer science)LawRelation (database)Law and economicsPolitical scienceInterpretation (philosophy)Copyright lawSociologyEpistemologyPhilosophyIntellectual propertyLinguisticsComputer science

Abstract

fetched live from OpenAlex

The paper offers a rights-based, Kantian interpretation of the idea/expression dichotomy in the law of copyright. It demonstrates that the idea/expression dichotomy normatively structures the relation between the parties to a copyright action in terms of their equal rights to authorship. To the extent that the defendant has not copied the plaintiff’s expression but has instead expressed an idea anew, the defendant has exercised her own authorship. The limits of the plaintiff’s right (i.e. the law’s refusal to copyright ideas) are therefore the contours of a public domain that, as a matter of equality, the plaintiff himself must be held to recognize. The public domain is not externally imposed upon but internally constitutive of authorial right. Thus the paper shows that a Kantian understanding of the fundamentals of copyright questions the perceived opposition between authorial right and public domain that informs much of contemporary copyright discourse. In so doing, the paper establishes the largely neglected possibility of a rights-based defense of the public domain.

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)0.008
metaresearch head score (Gemma)0.010
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 score0.014
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0050.067
Scholarly communication0.0140.021
Open science0.0020.006
Research integrity0.0080.008
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 head0.019
GPT teacher head0.226
Teacher spread0.207 · 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

Citations1
Published2003
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Law & JurisprudenceSame topicCopyright and Intellectual PropertyFrench-language works237,207