{"id":"W2749389808","doi":"10.25071/1718-4657.36768","title":"The Artist-as-Intermediary: Musician Labour in the Digitally Networked Era","year":2017,"lang":"en","type":"article","venue":"Intersections conference journal","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disintermediation; Music industry; Indie film; Digital era; Distribution (mathematics); Musical; Business; Phenomenon; Visual arts; Advertising; Sociology; Art; The Internet; Computer science; World Wide Web; Music education","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001147607,0.00008932428,0.00009717262,0.00005862447,0.00392446,0.005046652,0.0009918818,0.00006001642,0.0001518081],"category_scores_gemma":[0.0003907626,0.00005635186,0.00009814371,0.0000902675,0.000580979,0.001780919,0.00003126268,0.000554027,0.0001033764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009594647,"about_ca_system_score_gemma":0.0003099837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008887234,"about_ca_topic_score_gemma":0.05612019,"domain_scores_codex":[0.9989098,0.0001595589,0.0002932631,0.00009552458,0.0002184677,0.0003234053],"domain_scores_gemma":[0.9991309,0.0001947329,0.000219616,0.0002329327,0.0001359559,0.00008587553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009940529,0.0001151337,0.006006766,0.000003135185,0.00006397133,0.00004849937,0.06293087,0.00006307227,0.000004788099,0.4207942,0.00650735,0.5033628],"study_design_scores_gemma":[0.0005550708,0.0001474731,0.05415373,0.0002081549,0.0000151893,0.0001381255,0.08557678,0.0003357543,0.000008829202,0.1118113,0.746805,0.0002446564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3646654,0.00002461686,0.001534329,0.03810767,0.002365214,0.0001888404,0.000004407841,0.00002226109,0.5930873],"genre_scores_gemma":[0.9965382,0.0002293177,0.000009160485,0.0005552649,0.0005806593,0.0000167834,0.000001012379,0.000004340806,0.002065305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7402976,"threshold_uncertainty_score":0.9973723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384376834596234,"score_gpt":0.300225463672569,"score_spread":0.2763816953266067,"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."}}