Contracting out Hollywood : runaway productions and foreign location shooting
Bibliographic record
Abstract
Chapter 1 Introduction: Catching up to Runaway Productions Part 2 Part I: Contemporary Televisual Production: Markets and Studios Chapter 3 1 Divide and Conquer: Regional Competition in a Concentrated Media Industry Chapter 4 2 The Policy Environment of the Contemporary Film Studio Part 5 Part II: Digital Displacement: Animating Post-Production Chapter 6 3 OffShore Pot o'Gold: The Political Economy of the Australian Film Industry Chapter 7 4 Hollywood's Effects, Bollywood FX Part 8 Part III: International Cities, Spaces, and Audiences Chapter 9 5 Projecting Placelessness: Industrial Television and the Authentic Canadian City Chapter 10 6 The Ice Storm: Ang Lee, Cosmopolitanism, and the Global Audience Chapter 11 7 World-Class Budgets and Big-Name Casts: The Miniseries and International Coproductions
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".