Brought To You by the Letters C, R, T, and C: Sesame Street and Canadian Nationalism
Bibliographic record
Abstract
The wildly popular educational program Sesame Street arrived in Canada during a key transitional period for Canadian broadcasting policy in the early 1970s. An American-made program, it was threatened with cancellation by stations seeking to meet their Canadian content (CanCon) quotas with the least possible financial cost. A heated debate that included public protests and lobbying ensued, involving the Canadian Radio-Television Commission (CRTC), the Canadian Broadcasting Corporation (CBC), the media, parliamentarians, parents and even children. Each group advanced their particular interests regarding the issue of Canadianizing television. Ultimately, the CBC provided a compromise solution with the Canadianization of Sesame Street, whereby a portion of the program’s segments would be replaced by Canadian-made material that aimed to provide messages about Canada for young children. This tumultuous debate and its ultimate solution reveal the ambivalent attitudes held by Canadians, private broadcasters, and even the CBC about both the CRTC’s Canadianization policies and the quantitative approaches used to meet its objectives. It also demonstrates the roles that activist groups and more established interests such as broadcasters have played in shaping Canadian broadcasting 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.030 | 0.013 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".