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Record W1548242737

Rethinking Broadband Internet Access

2008· article· en· W1548242737 on OpenAlexaff
Daniel F. Spulber, Christopher S. Yoo

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsTelecommunicationsBroadbandCable modemNet neutralityInternet accessDigital subscriber lineThe InternetBroadband networksComputer scienceAccess networkTransaction costComputer networkComputer securityEconomicsMicroeconomics
DOInot available

Abstract

fetched live from OpenAlex

The emergence of broadband Internet technologies, such as cable modem and digital subscriber line (DSL) systems, has reopened debates over how the Internet should be regulated. Advocates of network neutrality and open access to cable modem systems have proposed extending the regulatory regime developed to govern conventional telephone and narrowband Internet service to broadband. A critical analysis of the rationales traditionally invoked to justify the regulation of telecommunications networks--such as natural monopoly, network economic effects, vertical exclusion, and the dangers of ruinous competition--reveals that those rationales depend on empirical and theoretical preconditions that do not apply to broadband. In addition, the current policy debate treats access to networks as a unitary phenomenon that fails to take into account how different types of access requirements can affect network performance in widely divergent ways. The current debate also fails to capture how individual network elements can interact in ways that can be quite unpredictable. In this Article, Professors Spulber and Yoo analyze broadband access using a theory of network configuration based on a branch of mathematics known as graph theory, which captures the interactions between individual components that cause networks to behave as complex systems. This theory yields a five-part classification system that provides insights into the effect of different types of access on network cost, capacity, reliability, and transaction costs.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.430

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 head0.040
GPT teacher head0.266
Teacher spread0.226 · 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 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

Citations9
Published2008
Admission routes1
Has abstractyes

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