Network Neutrality: Justifiable Discrimination, Unjustifiable Discrimination, and the Bright Line Between Them
Bibliographic record
Abstract
This paper proposes a bright line test to guide the Canadian Radio-television and Telecommunications Commission (‘‘CRTC’’) in regulating ‘‘network neutrality’’. When Internet service providers seek to discriminate between uses and users in administering their networks, the CRTC should ask whether the proposed discrimination is a reasonable effort to make the price paid by each user commensurate to the demands which his or her use places on the network. Discrimination which meets this description should be tolerated if not actively encouraged, because it encourages the economically efficient allocation of scarce bandwidth. All other forms of ISP discrimination— including discrimination based on aesthetic judgments and profit-seeking discrimination in favour of owned or affiliated content — should be restrained by the CRTC, relying on subsection 27(2) of the Telecommunications Act. Strong moral and economic arguments support the imposition of this limited neutrality regime, and only a few minor reforms would be required to put it into place.
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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 | 0.037 | 0.079 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.060 |
| Scholarly communication | 0.013 | 0.018 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.015 | 0.014 |
| Insufficient payload (model declined to judge) | 0.008 | 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".