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Record W2289549478 · doi:10.4314/pelj.v18i7.04

Introduction to Virtual Property: Lex Virtualis Ipsa Loquitur

2015· article· en· W2289549478 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePotchefstroom Electronic Law Journal/Potchefstroomse Elektroniese Regsblad · 2015
Typearticle
Languageen
FieldComputer Science
TopicDigital Rights Management and Security
Canadian institutionsnot available
FundersUniversity of PretoriaUniversity of OxfordYork UniversityYale University
KeywordsProperty (philosophy)Tangible propertyIntangible propertyCLARITYComputer scienceReal propertyIntellectual propertyPersonal propertyMetaverseLaw and economicsLawPolitical scienceSociologyHuman–computer interactionVirtual realityPhilosophyEpistemology

Abstract

fetched live from OpenAlex

This article serves as an introduction to the concept of virtual property and also to very briefly note the relevance of virtual property in modern society. A universally accepted definition of virtual property is hard to come by, but the paper will aim to provide some clarity on the issue. Virtual property is still property, and it still exists even though it is intangible. It includes (amongst other things) website addresses and email addresses as well as certain other accepted immaterial property objects such as bank accounts, stocks, options and derivatives. Indeed, one can go so far as to include digital goods, such as digital versions of books (e-books), computer or smartphone programmes or apps, television series and movies as well as digital music (albums and tracks) as objects of virtual property. However, the focus in this paper is on the type of virtual property found inside virtual worlds. The discussion of virtual property will be facilitated by reference to some of the ancillary and more complicated areas of the field to serve as a point of reference leading to an understanding of the concept of virtual property in general.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.847
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0030.006
Open science0.0040.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.015
GPT teacher head0.231
Teacher spread0.216 · 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