Fair Copyright Remuneration: The Case of Music Radio
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The issue of what price should be set for the music input to radio broadcasts has been hotly debated recently in several countries, including USA, Canada and New Zealand. Since music is subject to copyright, this is an issue that is of great importance to the economics of copyright. The central point is the fact that, because of the economic efficiency that is gained by collective management and blanket licencing, the copyright holders in music are represented by a single bargaining unit. The ensuing monopoly power is often seen to be detrimental to social efficiency, and so in exchange for allowing the collective to form and operate, the price at which it grants access to its repertory is regulated. The regulated price should be set at a fair and equitable level. In this paper, the Shapley methodology is used to attempt to provide such a tariff.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it