Specifics of the digital regulation of the Canadian cultural industries
Bibliographic record
Abstract
The Online Streaming Act and the Online News Act are two pieces of the government's digital agenda. They are separate pieces of legislation with different implementation processes. The Canadian Radio-television and Telecommunications Commission (CRTC) is responsible for the regulation of the laws. The Online Streaming Act received Royal Assent on April 27, 2023 and is the first major reform of the Broadcasting Act since 1991. It updates broadcasting policy for Canada and require online streaming services to contribute to the creation and availability of Canadian audio-visual contentin an equitable way. Online Streaming Act makes Canadian stories and music widely available to Canadians in the digital age. The law will give Canadians more opportunities to see themselves in what they watch and hear, under a new framework that better reflects Canada today. The Online News Act received Royal Assent on June 22, 2023. It aims to ensure that dominant platforms compensate Canadian news businesses when their content is available on their services. The Act creates a bargaining framework to ensure that platforms compensate news businesses fairly. It encourages platforms to reach voluntary commercial agreements with a range of news businesses. If parties are not able to come to fair agreements independently, they would have to proceed to a mediated mandatory bargaining process. If, after mediation, the parties are still unable to reach an agreement, each party would submit a final offer, and an arbitral panel would choose one of the offers.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".