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Record W886957899

Access to Digital Information: Gift or Right?

2011· article· en· W886957899 on OpenAlexaffabout
Margaret Ann Wilkinson

Bibliographic record

VenueScholarship@Western (Western University) · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsWestern University
Fundersnot available
KeywordsDominance (genetics)The InternetIntellectual propertyInternet privacyBusinessState (computer science)Context (archaeology)Digital dividePolitical scienceWorld Wide WebComputer scienceGeographyLaw
DOInot available

Abstract

fetched live from OpenAlex

The 21st century started with a bang, at least from the perspective of the widespread adoption of information technologies, and market hype for overvalued technology stock. There was a second bang shortly afterwards, when the bubble burst. We are now entering a period of greater stability for the appreciation of information technology in society, as well as sustained development, albeit in a financial environment that has become uncertain. This collection of essays addresses some of the issues that face our society in deciding how best to handle access to, and monopolies over, knowledge. It includes detailed examination of the social, political and legal implications of free and open source software. As well it looks at the future of copyright in the digital age.\nThis book arose out of a conference held in April 2007 at the University of Western Ontario Faculty of Law. The conference was a collaborative research exercise between the University of Western Ontario and The Queensland University of Technology.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0030.035
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.009

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 head0.173
GPT teacher head0.290
Teacher spread0.117 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2011
Admission routes2
Has abstractyes

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