Cashing In or Giving Back: The Role of Film Tax Incentives in the Cultural Impact of Runaway Productions
Bibliographic record
Abstract
This thesis explores the internationalization of Hollywood through economic and creative runaway productions driven by international tax incentives. It examines how these incentives can impact not only the commercial but the cultural success of productions filmed abroad, focusing on regions such as Australia, New Zealand, Canada, the United Kingdom, France, Germany, California, New York, and New Jersey. The analysis centers on cultural tests and diversity requirements, revealing two main approaches: the first requires a minimum of diversity standards and cultural tests points to be met, while the second prioritizes and rewards productions with the highest achieved assessment of those. Furthermore, the paper critiques past approaches, including the perpetuation of stereotypical portrayals and extractive production practices, emphasizing the need for policies that recognize meaningful representation and community engagement. Ultimately, this research concludes that incentivizing cultural contributions is the future of tax incentives, positioning them as a powerful policy tool for shaping global, culturally impactful, and authentic storytelling, while generating substantial economic benefits.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.007 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".