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Record W4240708323 · doi:10.5325/jinfopoli.7.1.0228

The Geopolitical Economy of the Global Internet Infrastructure

2017· article· en· W4240708323 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Information Policy · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicElite Sociology and Global Capitalism
Canadian institutionsCarleton University
Fundersnot available
KeywordsThe InternetLiberalizationGeopoliticsGlobalizationHegemonyChinaPolitical scienceBusinessEconomyTelecommunicationsEngineeringEconomicsPoliticsLaw

Abstract

fetched live from OpenAlex

Abstract According to many observers, economic globalization and the liberalization of telecoms/internet policy have remade the world in the image of the United States. The dominant roles of Amazon, Apple, Facebook, and Google have also led to charges of US internet imperialism. This article, however, argues that while these internet giants dominate some of the most popular internet services, the ownership and control of core elements of the internet infrastructure—submarine cables, internet exchange points, autonomous system numbers, datacenters, and so on—are tilting increasingly toward the EU and BRICS (i.e., Brazil, Russia, India, China, and South Africa) countries and the rest of the world, complicating views of hegemonic US control of the internet and what Susan Strange calls the knowledge structure.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.654
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.007
GPT teacher head0.323
Teacher spread0.316 · 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