Is Hollywood a Risky Business? A Political Economic Analysis of Risk and Creativity
Bibliographic record
Abstract
This paper seeks to explain why Hollywood’s dominant firms are narrowing the scope of creativity in the contemporary period (1980–2015). The largest distributors have sought to prevent the art of filmmaking and its related social relations from becoming financial risks in the pursuit of profit. Major filmed entertainment, my term for the six largest distributors, must discount expected future earnings to present prices with the forward-looking logic of capitalisation; and uncertainty about where creativity in cinema is going can produce financial uncertainty about the future earning potential of new film projects. Conversely, a degree of confidence in the expected future earnings of Hollywood cinema can increase when the art of filmmaking and broader social world of mass culture are ordered by capitalist power [Nitzan, J. and Bichler, S., 2009. Capital as power: a study of order and creorder. New York: Routledge]. For the period of 1980–2015, major filmed entertainment lowered its risk relative to the period before, 1960–79. This historical process of risk reduction is the effect of major filmed entertainment making the wide-release strategy (a.k.a., saturation booking) more predictable through an aggressive implementation of the blockbuster style and the high concept standard.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".