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Record W2475854473 · doi:10.1177/1461444816662932

The politicization of the Internet’s Domain Name System: Implications for Internet security, universality, and freedom

2016· article· en· W2475854473 on OpenAlexaff
Samantha Bradshaw, Laura DeNardis

Bibliographic record

VenueNew Media & Society · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCybersecurity and Cyber Warfare Studies
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsDomain Name SystemThe InternetInternet governanceCorporate governancePoliticsInternet privacyPublic domainLaw and economicsComputer securityBusinessSociologyComputer scienceLawPolitical scienceWorld Wide Web

Abstract

fetched live from OpenAlex

One of the most contentious and longstanding debates in Internet governance involves the question of oversight of the Domain Name System (DNS). DNS administration is sometimes described as a “clerical” or “merely technical” task, but it also implicates a number of public policy concerns such as trademark disputes, infrastructure stability and security, resource allocation, and freedom of speech. A parallel phenomenon involves governmental and private forces increasingly altering or co-opting the DNS for political and economic purposes distinct from its core function of resolving Internet names into numbers. This article examines both the intrinsic politics of the DNS in its operation and specific examples and techniques of co-opting or altering DNS’ technical infrastructure as a new tool of global power. The article concludes with an analysis of the implications of this infrastructure-mediated governance on network security, architectural stability, and the efficacy of the Internet governance ecosystem.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.058
Scholarly communication0.0100.009
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.274
Teacher spread0.254 · 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 designNot applicable
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

Citations33
Published2016
Admission routes1
Has abstractyes

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