MétaCan
Menu
Back to cohort
Record W1539109106

Virtual Inequality: Challenges for the Net's Lost Founding Value

2011· article· en· W1539109106 on OpenAlexaff
Jonathon W. Penney

Bibliographic record

VenueNorthwestern journal of technology and intellectual property · 2011
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCyberspaceThe InternetValue (mathematics)ScholarshipSociologyInequalityPolitical scienceEconomic JusticeLaw and economicsLawPublic relationsComputer science
DOInot available

Abstract

fetched live from OpenAlex

Freedom, liberty, and autonomy are the ideals mainly associated with Internet's first generation of thinkers, writers and "netizens," those who helped forge the Internet and the early technological and intellectual foundations of the idea of “cyberspace.” These ideas were, says Lawrence Lessig, the “founding values of the Net” and inspired an entire generation of scholarship focused on preserving the free and open nature of the Internet’s culture and architecture. But what has anyone to say about equality? Few, if any, Internet scholars today focus on equality as a similar value to be promoted or achieved. Returning to some of the early influential Internet texts, this Article argues that equality was also heralded as another important value that the Internet could promote, but has since been largely neglected, including the ways that the Internet can actually promote or entrench inequality. It then offers reasons for this neglect -- such as the predominance and influence of libertarian oriented "cyber-utopian" works -- and provides an account of the different challenges for equality and distributive justice in relation to the Internet, including inequalities of ICT access, connectivity, security, and experience in online communities. It concludes with a discussion of measures to help address these digital divides.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

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

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 head0.063
GPT teacher head0.251
Teacher spread0.187 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations2
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueNorthwestern journal of technology and intellectual propertySame topicICT Impact and PoliciesFrench-language works237,207