Dynamic Competition in Telecommunications Implications for Regulatory Policy
Bibliographic record
Abstract
In this issue... The federal government designs the CRTC’s regulatory policies to promote the entry of new firms into the market for wireline local access services using current facilities and technology. Yet the current pace of technological change means that competition cannot be measured simply by counting the number of competitors in the market. What is needed are incentives for firms to invest in new technologies and to compete for the market, rather than in the market, to the long-term benefit of Canadian consumers. The Study in Brief In recent years, the Canadian Radio-television and Telecommunications Commission (CRTC) has adopted a range of policy initiatives designed to promote the entry of new firms into the business of providing wireline local access telephone services, and increasing the number of viable competitors in that market. Despite its efforts, however, the CRTC’s own assessment is that competition is limited even in the largest urban centres and virtually nonexistent outside them.
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 | 0.014 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.019 |
| Scholarly communication | 0.019 | 0.014 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.023 | 0.017 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".