Mandating Access to Telecom and the Internet: The Hidden Side of Trinko
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".