Renegotiations of Canadian Space in Contemporary CBC Audio Distribution Models
Bibliographic record
Abstract
This paper treats the Canadian Broadcasting Corporation’s (CBC) online ventures as examples ofthe national public broadcaster’s continued negotiation of Canadian space. More specifically, the paper looks at the online streaming and podcasting of English language radio broadcast content. This paper accounts for CBC Radio One’s distribution of audio programming—historically by way of national broadcasts and more recently by way of online streaming and podcast archives—as models of Canadian cultural transmission, which marginalize outlying Canadian regions in relation to production centres in Toronto and Montréal. This paper treats CBC Radio One’s collection, assemblage and transmission of programming as better indicators of theinequalities between production centers and outlying regions than any particular programming content. With focus on the most recent incarnation of the CBC radio morning interview show, Q,and drawing from Canadian communication studies, I will outline how the podcasting of Englishlanguage CBC radio programming both rearticulates the broadcaster’s history and presence as acentral manager of Canadian stories, and provides audiences with opportunities to activelyundermine this centralized management.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.019 | 0.024 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".