Licenced to Thrive? Podcasting and Copyright Law in Canada
Bibliographic record
Abstract
This article examines podcasting and its specific characteristics to see, first, where it fits within Canada’s copyright law, and second, how the licensing regime for musical works in Canada applies to podcasting. The discussion next turns to whether or not the current licensing regime for podcasting is desirable in light of the purpose of copyright in Canada, and with a view to the various interests at stake: those of artists, in being paid, and those of society, in enabling podcasters to access material in order to produce their work. An examination of the current and proposed licensing regime and its implications leads to the conclusion that it is not very feasible for amateur or non-commercial podcasters to operate legally in Canada if they use musical content, and that at the very least, podcasting should be covered by different tariffs than commercial Internet broadcasters or download services. The paper then goes on to explore suggestions that have been made to better serve the interests of rights holders, while also allowing more inexpensive access to users — the people who consume (listen to or watch) podcasts — in the online environment.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 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".