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Record W1982765865 · doi:10.1177/0002764201044010007

A Longitudinal Analysis of the International Telecommunication Network, 1978-1996

2001· article· en· W1982765865 on OpenAlexaboutno aff
George A. Barnett

Bibliographic record

VenueAmerican Behavioral Scientist · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Systems and Global Transformations
Canadian institutionsnot available
Fundersnot available
KeywordsCore (optical fiber)TelecommunicationsDimension (graph theory)Political scienceWork (physics)Economic geographyGeographyEngineering

Abstract

fetched live from OpenAlex

The current structure of the international telecommunications network and how it has changed since the late 1970s are examined. Consistent with world-systems theory, the net-work may be described as one large interconnected group of nations arrayed along a center-to-periphery dimension. At the core are the United States, Canada, and Western Europe. At the periphery are the poorer nations and the former Soviet republics. The network may be subdivided into eight regional blocks, what Huntington labels civilizations. Over time, the network has become denser and more highly integrated and centralized. Recently, however, there has been a significant reversal in centralization. Furthermore, the rate of change among 39 wealthier nations appears to be accelerating.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.042
GPT teacher head0.361
Teacher spread0.319 · 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 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

Citations116
Published2001
Admission routes1
Has abstractyes

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