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The Star System

2011· other· en· W1863853733 on OpenAlexaboutno aff
Mark Lynn Anderson

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHollywoodEmpireNegotiationStar (game theory)StudioPeriod (music)LawQuarter (Canadian coin)EngineeringPolitical scienceSociologyArt historyHistoryArtAestheticsPhysicsTelecommunicationsArchaeology

Abstract

fetched live from OpenAlex

Abstract In the summer of 1918, after failing to negotiate a new contract with his most important star, Adolph Zukor offered Mary Pickford a quarter of a million dollars to leave the motion picture business.1Given the meagerness of this sum as compared with Pickford's enormous earning capacity at that moment, one might well conclude that Zukor was merely joking. Yet, might this have been a genuine bribe? The Famous Players‐Lasky's chief executive had built his empire upon the exploitation of movie stars like Pickford, and historians of the studio system have long commented upon Zukor's keen involvement in the parallel development of both the feature‐length motion picture and the star system during the late transitional period of 1912 to 1915. In the subsequent period of industrial consolidation, however, Zukor apparently sought to turn his back on the star performer as a business strategy, while he instead pursued theater ownership, the promotion of famous authors, and the production of multiple‐star specials that sought to effectively short‐circuit the authority of the individual star. When Zukor proposed that Pickford stop working in 1918, she and scores of other Hollywood stars were preparing to participate in the fourth Liberty Loan campaign, where their extraordinary earning power would be once again put on display as beneficial to the American troops overseas, to the nation, and ultimately, to the fate of the entire world.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.050
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0500.005

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 head0.033
GPT teacher head0.189
Teacher spread0.156 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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