The “Competitive” Value of Music to Commercial Radio Stations
Bibliographic record
Abstract
Nous proposons dans cet article une méthode permettant d'inférer, du comportement et des choix des diffuseurs, la valeur « concurrentielle » qu'ils accordent à la musique enregistrée et d'obtenir de cette valeur inférée les montants qu'ils devraient verser aux auteurs, compositeurs, interprètes et producteurs au chapitre des droits d'auteur. Nous appliquons la méthode sur des données canadiennes. Le cadre institutionnel de référence nous est fourni par la cause de 2004 devant la Commission du droit d'auteur du Canada relative au tarif applicable à la radio commerciale. Nos résultats montrent qu'une hausse substantielle des paiements pour droits d'auteur s'impose : ces paiements « concurrentiels » devraient être plus du double de ceux que l'industrie versait effectivement au moment des audiences de la cause.
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How this classification was reachedexpand
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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".