The Design of Regulatory Institutions for the Canadian Telecommunications Sector
Bibliographic record
Abstract
As the result of competition arising from new technology, extensive economic regulation of the telecommunications industry has become less appropriate over time. In this article we consider corresponding institutional reform. Both the Canadian Radio-television and Telecommunications Commission (CRTC) and the Competition Bureau/Tribunal are presently involved in telecom regulation. We propose a framework in which there is a clearer division of responsibility between the CRTC and the Bureau/Tribunal. The latter would be responsible for enforcing laws against predatory pricing, price discrimination, and other standard competition policy matters in the telecom industry. Where there is concern simply about high prices, a matter that competition policy does not ordinarily address directly, we propose that the Bureau/Tribunal assume responsibility for identifying markets in which there is market power, and only then would the CRTC have the authority to regulate prices. We argue that such an arrangement would allow each agency to exploit its comparative advantage, would reduce costly duplication across agencies, and would address concerns about regulatory overreach.
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 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 | 0.019 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.013 | 0.014 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".