Digital Technologies and the Future of Radio: Lessons from the Canadian Experience.
Bibliographic record
Abstract
This paper examines the position of digital radio in Canada. It examines the Canadian experience of digital radio development from its introduction in 1995 to the present and asks whether the approach adopted and the lessons learned provide useful models for application elsewhere. Three main strands form the background to digital radio’s current stage of development: firstly, the introduction and early support for Digital Audio Broadcasting or (DAB) in the mid 1990s; secondly, the response of the radio industry to the internet and new media as complementary to traditional radio broadcasting provision; and thirdly, the more recent experience of the introduction of satellite radio in Canada. The focus for this particular paper’s analysis is the revised digital radio policy issued by the Canadian Radio-Television and Telecommunications Commission (CRTC) in December 2006, replacing the earlier transitional digital radio policy of 1995, and seeking to implement a multi-platform framework in an increasingly complex technological environment. The paper assesses initial response to the new digital radio policy and examines some of the potential scenarios for the future environment of radio. The research is informed by policy analysis, interviews and expert opinions with leading members of the Canadian broadcasting profession.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.028 | 0.016 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| 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".