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Record W2117166695

Personal Property Law and Information Assets: Rehabilitation and Relevance

2002· article· en· W2117166695 on OpenAlexaff
Wendy A. Adams

Bibliographic record

VenueSSRN Electronic Journal · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsTangible propertyPersonal propertyIntangible propertyRelevance (law)CommodificationStatutory lawProperty (philosophy)Property lawLaw and economicsBusinessReal propertyIntellectual propertyLawProperty rightsPolitical scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

More attention should be paid in both teaching and research to the issue of original acquisition in common law property, with particular emphasis on information assets. Personal property law provides sophisticated legal and equitable rules for the allocation and transfer of both tangible and intangible property, but has few doctrines capable of governing competing interests in information transactions. Whether by unconscious omission or intentional design, the common law presents no consistent legal response to claims for proprietary protection of information assets. Accordingly, if personal property law is to remain relevant, research efforts should be directed towards rehabilitation sufficient to take account of the economic, social and political significance of information assets. This will require development of an appropriate conceptual framework for analyzing the legal issues implicated in requests for commodification of information. In particular, rehabilitation in these circumstances must address the prevailing view that information assets are within the exclusive domain of statutory intellectual property regimes.

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)0.007
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 score0.012
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0050.085
Scholarly communication0.0120.023
Open science0.0020.007
Research integrity0.0100.009
Insufficient payload (model declined to judge)0.0100.001

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 head0.009
GPT teacher head0.251
Teacher spread0.242 · 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
Published2002
Admission routes1
Has abstractyes

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