{"id":"W4411572283","doi":"10.1080/1369118x.2025.2521375","title":"Worker-led AI governance: Hollywood writers' strikes and the worker power","year":2025,"lang":"en","type":"article","venue":"Information Communication & Society","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hollywood; Power (physics); Corporate governance; Media studies; Sociology; Political science; Art; Management; Art history; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001391961,0.0001026449,0.0001354745,0.00002452016,0.001239861,0.000724428,0.0004634968,0.0001290358,0.00007929034],"category_scores_gemma":[0.0001252561,0.00008352823,0.0001315308,0.000459985,0.0006118045,0.003978613,0.00009294449,0.0002636662,0.00004924913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001233783,"about_ca_system_score_gemma":0.0001551731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001240492,"about_ca_topic_score_gemma":0.000106394,"domain_scores_codex":[0.9989377,0.0001616333,0.0004339332,0.00006931728,0.0002194507,0.0001779988],"domain_scores_gemma":[0.998792,0.0003866428,0.0002096003,0.000384426,0.0001847554,0.00004259733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005764132,0.00002714177,0.0007333616,0.00001362766,0.00006941029,9.072126e-9,0.08612048,0.00006252877,2.064741e-7,0.7873021,0.03845363,0.0871598],"study_design_scores_gemma":[0.001546482,0.000005422247,0.00471357,0.00009622762,0.00002048997,2.282052e-7,0.03535368,0.0008331978,0.000007062802,0.01171934,0.9455751,0.0001292114],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01231351,0.001621878,0.009889499,0.09259261,0.0002644736,0.0009878976,0.00002323629,0.0002068044,0.8821001],"genre_scores_gemma":[0.9863389,0.00385017,0.0005435856,0.008298678,0.00001578168,0.00007111367,0.00004841698,0.000002947437,0.000830408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9740254,"threshold_uncertainty_score":0.9536131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006614207416867851,"score_gpt":0.2579281222773839,"score_spread":0.2513139148605161,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}