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Record W2592027688 · doi:10.1525/luminos.26

Voices of Labor: Creativity, Craft, and Conflict in Global Hollywood

2017· book· en· W2592027688 on OpenAlexaboutno aff
Michael Curtin, Kevin Sanson

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsHollywoodCraftGlobalizationPrideFilm industryMovie theaterMedia studiesSociologyCounterculturePublicityPolitical scienceVisual artsArtArt historyLaw

Abstract

fetched live from OpenAlex

Motion pictures are <i>made</i>, not mass produced, requiring a remarkable collection of skills, self-discipline, and sociality—all of which are sources of enormous pride among Hollywood’s craft and creative workers. The interviews collected here showcase the pleasures that attract people to careers in film and television. They also reflect critically on changes in the workplace brought about by corporate conglomeration and globalization. Rather than offer publicity-friendly anecdotes by marquee celebrities, <i>Voices of Labor</i> presents off-screen observations about the everyday realities of Global Hollywood. Ranging across job categories—from showrunner to make-up artist to location manager—this collection features voices of labor from Los Angeles, Atlanta, Prague, and Vancouver. Together they show how abstract concepts like conglomeration, financialization, and globalization are crucial tools for understanding contemporary Hollywood and for reflecting more generally on changes and challenges in the screen media workplace and our culture at large. “Essential reading for anyone interested in how Hollywood actually works.” RAMON LOBATO, author of <i>Shadow Economies of Cinema</i> “Michael Curtin and Kevin Sanson craft a powerful elegy for organized labor, demonstrating how critical theory is sung to the everyday rhythms of the workplace.” VICKI MAYER, author of <i>Almost Hollywood, Nearly New Orleans: The Lure of the Local Film Economy</i> “A star-studded cast with diverse talents, backgrounds, and perspectives tells a varied but consistent tale of the importance of organized labor and the challenges it faces when pitted against the forces of media consolidation and globalization, all set in that magical company town known as Hollywood.” PATRIC M. VERRONE, writer and producer, former president, Writers Guild of America, West MICHAEL CURTIN is Duncan and Suzanne Mellichamp Professor of Film and Media Studies and director of the Global Dynamics Initiative at University of California, Santa Barbara. KEVIN SANSON is a senior lecturer in the Creative Industries Faculty at Queensland University of Technology and managing editor of Media Industries.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.115
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.059
GPT teacher head0.340
Teacher spread0.281 · 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
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

Citations51
Published2017
Admission routes1
Has abstractyes

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