Article: Auditioning for Hollywood: A Comparative Study of Tax Incentives Offered to the Film Industry
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 European film landscape is characterized by a strong presence of Hollywood productions. In 2019, American productions held approximately 70% of the market within the European Union while European productions had 25%. As a response, the EU has introduced differing types of financial support schemes with the aim of offsetting the imbalance between the American and the European film industries. This article describes and analyses tax incentives offered to the film industry from two main lines of inquiry: (1) a comparative and empirical tax study of twelve jurisdictions (Canada, China, France, Germany, India, Italy, Japan, the Netherlands, Norway, Spain, the United Kingdom, and the United States) in which the design of such tax incentives is investigated, and (2) a conceptual tax policy discussion on how states may design and implement such tax incentives. Tax incentives, sustainability, development, film industry, tax competition, tax design, comparative tax law
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it