MétaCan
Menu
Back to cohort

Divided they stand: Hollywood unions in the information age

2007· article· en· W3215058259 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueWork Organisation Labour & Globalisation · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsQueen's UniversityCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRestructuringHollywoodConvergence (economics)CraftPower (physics)Identity (music)Technological convergencePolitical scienceGuildAdvertisingPolitical economyMedia studiesSociologyBusinessEconomicsEngineeringEconomic growthLawTelecommunicationsHistoryArtVisual artsAestheticsArt history

Abstract

fetched live from OpenAlex

In an effort to increase labour power, trade unions representing communications and creative workers in North America have pursued a form of convergence, merging with each other and restructuring themselves along similar lines to their employers. This paper examines the issues surrounding labour convergence by taking up the failed merger between the Screen Actors Guild and the American Federation of Television and Radio Artists. It finds that, although the leaders of both unions supported the merger, the particular characteristics of the unions, including their culture, sense of craft identity and the lived experience of members, derailed the effort.

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.

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)0.003
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: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.281
Teacher spread0.255 · 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