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Record W3082309442

Is Hollywood a Risky Business? A Political Economic Analysis of Risk and Creativity

2018· article· en· W3082309442 on OpenAlexaff
James McMahon

Bibliographic record

VenueThe Bichler & Nitzan Archives (York University) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicArt History and Market Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHollywoodFilmmakingEntertainmentMovie theaterEarningsCreativityEconomicsAdvertisingBusinessSociologyPolitical scienceHistoryFinanceLawArt history
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.819
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.018
GPT teacher head0.195
Teacher spread0.177 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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