The transition to high definition in English Canadian broadcasting: challenges and opportunities in a changing media environment
Bibliographic record
Abstract
This Major Research Paper sets out to provide an overview of the transition to High Definition television broadcasting from a Canadian perspective using a variety of research methods including interviews with executives from Canada's top media companies, policy research and case studies. This paper will illustrate how the transition to digital television and High Definition (HDTV) technology will fundamentally change the way a television program is produced, broadcast, distributed, and viewed by the audience. It is anticipated that this changeover will significantly alter the economic business models of broadcasters, producers, and broadcast distribution undertakings. It will also affect programming services, while completely restructuring the technical infrastructure of the industry. Therefore, the significance of this changeover has been compared by many as being similar to the switch from black and white to colour television in the 1950s (Brace, 2007; Brinkley, 1997; Galperin, 2004; Hart, 2004; Heidendahl, 2007).
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.018 | 0.009 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".