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Record W25958773 · doi:10.1017/s1368980015001068

Mandating Access to Telecom and the Internet: The Hidden Side of Trinko

2007· article· en· W25958773 on OpenAlexaff
Daniel F. Spulber, Christopher S. Yoo

Bibliographic record

VenuePublic Health Nutrition · 2007
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsNet neutralityMandateSupreme courtInternet accessLaw and economicsBusinessThe InternetTelecommunicationsEconomicsPolitical scienceComputer scienceLawWorld Wide Web

Abstract

fetched live from OpenAlex

Antitrust has long played a major role in telecommunications policy, demonstrated most dramatically by the equal access mandate imposed during the breakup of AT&T. In this Article we explore the extent to which antitrust can continue to serve as a source of access mandates following the Supreme Court's 2004 Trinko decision. Although Trinko sharply criticized access remedies and antitrust courts' ability to enforce them, it is not yet clear whether future courts will interpret the opinion as barring all antitrust access claims. Even more importantly, the opinion contains language hinting at possible bases for differentiating among different types of access, in contrast to previous analyses, which have generally grouped all of the forms of access into a single category. We build upon this language to offer an analytical framework, based on a branch of mathematics known as graph theory, that captures the manner in which different components of network can interact with one another as part of a complex system. Our analysis also offers a basis for classifying the different types of access into five categories: retail, wholesale, interconnection, platform, and unbundled. We then employ this framework to analyze a range of policy and doctrinal issues, including the current debate over network neutrality.

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)0.003
metaresearch head score (Gemma)0.009
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: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.003
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.036
GPT teacher head0.317
Teacher spread0.282 · 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

Citations9
Published2007
Admission routes1
Has abstractyes

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