Public Sphere Disruption : Public Service Broadcasting and the CBC at the Digital Crossroads
Bibliographic record
Abstract
Public broadcasting is traditionally thought to be an essential element to public spheres. This paper charts how this relationship is formed, and then demonstrates how it is threatened in the Canadian context. Canada’s public broadcaster, the Canadian Broadcasting Corporation, has digital policies like Strategy 2020: A Space for Us All which suggests CBC is pivoting away from its relationship with the public sphere, and in some ways weakening the Canadian public sphere. Accordingly, this paper looks at the claims charged about this policy, particularly from Taylor (2016), and considers how it and similar digital policies affect the CBC as an element of the Canadian public sphere. While the paper finds CBC digital policies benefit the public sphere, the majority put into action hinder CBC’s relationship to the Canadian public sphere. Overall, this MRP highlights the importance of considering the philosophy of the public sphere when developing public media policy.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.024 | 0.047 |
| Scholarly communication | 0.028 | 0.013 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.013 | 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".