Bibliographic record
Abstract
Discussion in this paper focuses on the factors, attributes, and elements of telecom and broadcast regulation in Canada. Part I of this study briefly outlines the history of online video regulation in Canada to date. In Part II speculation as to how online video might be regulated, based on prior decisions of the CRTC, is presented. Part III considers the challenges of applying the Broadcasting Act to new media entities in order to create a regulatory framework for online video. Part IV looks at judicial decisions related to broadcast law that may be used to define the nature of the service, and therefore limit the application of the Broadcasting Act to specific types of technology. Part V examines the legal justification for the regu- lation of broadcast and telecommunications in Canada, as well as in other countries with similar regulatory frameworks, such as the United States. Finally, Part VI presents various legal difficulties for justifying the regulation of online video as a broadcast entity.
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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 | 0.043 | 0.080 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.012 | 0.031 |
| Scholarly communication | 0.019 | 0.007 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.011 | 0.013 |
| Insufficient payload (model declined to judge) | 0.006 | 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".