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Record W3125063490

The changing role of Hollywood in the global movie market

2014· preprint· en· W3125063490 on OpenAlexaboutno aff
W. David Walls, Jordi McKenzie

Bibliographic record

VenueRePEc: Research Papers in Economics · 2014
Typepreprint
Languageen
FieldArts and Humanities
TopicArt History and Market Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHollywoodBox officeMovie theaterExhibitionFilm industryMarket shareRevenueDomestic marketAdvertisingDistribution (mathematics)BusinessEconomyCommerceEconomicsInternational tradeMarketingArtFinanceArt history
DOInot available

Abstract

fetched live from OpenAlex

Does Hollywood dominate world cinema markets with American taste, culture, and values through the exportation of films produced mainly for its domestic (US and Canada) market? Or does Hollywood supply the films that world audiences demand and, because of the logistics of distribution, screen these films first in the domestic market prior to exhibition in foreign markets? In this article, the authors empirically analyzed the global market for motion pictures to provide statistical evidence that can speak to these questions. They examined data on nearly 2, 000 films exhibited from 1997–2007, inclusive, in the United States and Canada, Australia, France, Germany, Mexico, Spain, and the United Kingdom—markets that today collectively account for over 75% of worldwide cinema box-office revenue. The empirical evidence provides support for the hypothesis that the supply of Hollywood films has accommodated global demand as the relative size of the U.S. domestic market has decreased. There is no evidence that box-office success in the United States creates a contagion that spreads to other film exhibition markets; however, box-office success in international markets appears to be less uncertain for films that have been successful in their U.S. releases.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score0.907

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.267
Teacher spread0.245 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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