Canadian Broadcasting and SCTV at the Intersection of Policy, Technology and Culture
Bibliographic record
Abstract
Despite putting significant resources into building a national broadcasting service to feature Canadian talent, Canada failed to develop any distinct celebrity culture from the United States, relying on their star system to define talent, which has contributed to a steady drain of those creatives into Hollywood from the North. Though Canada’s content producers are seeing a major recent uptick in celebrity from within its borders, the role that policy played on a developing television generation was impactful, working to form a national culture that is finally learning to appreciate its natural gifts. This thesis first describes the way that the Canadian government developed its public broadcast system, primarily interceding by way of regulatory bodies and a public broadcasting company. The second part of this paper uses the television program, SCTV (Second City Television), as a case study to explore some issues in producing content for Canadian broadcasting within the system and the culture, a culture that both the system and the show reinforced as these entertainers navigated the “media borderlands.”
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.021 | 0.014 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".