Bibliographic record
Abstract
In April of 2023, Bill C-11, the Online Streaming Act, was given Royal Assent to amend Canada’s 1991 Broadcasting Act to regulate transnational, American-based online streaming services that lack intrinsic reason to enhance and foster conceptions of a distinctive ‘Canadian identity.’ Under this contentious new scope of broadcasting legislation, alongside radio and television, Internet streaming services are now required to, among other things, make maximum or predominant use of Canadian creative resources in the creation, production, and distribution of programming or otherwise contribute to those Canadian resources in an equitable manner, as well as support the production and distribution of original Canadian content (CanCon) in both official languages. From a critical political economic perspective, this introductory paper explores how Bill C-11 is a legislative measure aimed at countering the economic and cultural hegemony of online streaming giants, which predominantly disseminate American and other global content. As set forth in Section 3(1) of the 1991 Broadcasting Act, the Canadian broadcasting system should safeguard, enrich, and strengthen the cultural, political, social, and economic fabric of the nation; however, cultural objectives cannot be met without first achieving economic objectives. This paper argues that the Online Streaming Act seeks to safeguard Canada’s cultural industries by ensuring that CanCon is prioritized and protected against the encroachments of a relentless capitalist market driven by transnational corporations, which necessitates a delicate balancing of economic and cultural objectives.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.022 | 0.012 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 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".