{"id":"W3174441985","doi":"10.1177/20563051211025511","title":"Making Sweet Music Together: The Affordances of Networked Media for Building Performance Capital by YouTube Musicians","year":2021,"lang":"en","type":"article","venue":"Social Media + Society","topic":"Music History and Culture","field":"Arts and Humanities","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University; Toronto Metropolitan University","funders":"Canada Research Chairs","keywords":"Affordance; Homophily; Popular music; Meaning (existential); Advertising; Multimedia; Psychology; Computer science; Social psychology; Visual arts; Cognitive psychology; Business; Art","routes":{"ca_aff":true,"ca_fund":true,"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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003379887,0.0001932393,0.0003112451,0.000008032594,0.001485395,0.00007587585,0.00025997,0.0001385077,0.001328877],"category_scores_gemma":[0.00007821659,0.000144604,0.000425847,0.00008418054,0.000666649,0.0001727978,0.00005167995,0.000261363,0.000003833499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000758924,"about_ca_system_score_gemma":0.0001085097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001103439,"about_ca_topic_score_gemma":0.006353686,"domain_scores_codex":[0.9987118,0.00006458372,0.0002876138,0.0002440947,0.0003197054,0.000372238],"domain_scores_gemma":[0.9990893,0.0003227242,0.0001988943,0.0001449108,0.0002046896,0.00003947763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001052575,0.00003338557,0.0000126207,0.00007614196,0.0000804835,5.101245e-7,0.7606006,0.00000455811,0.0003339062,0.02418833,0.2094037,0.005255237],"study_design_scores_gemma":[0.0004578878,0.00002555506,0.00002626624,0.00007472448,0.0001200542,8.558012e-7,0.4614185,0.0001551128,0.0003021895,0.00239937,0.5347503,0.0002691901],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788545,0.003490727,0.0001333172,0.0007400375,0.005494493,0.0003130249,0.0003720683,0.00008570564,0.01051613],"genre_scores_gemma":[0.9899908,0.0000779411,0.0003020948,0.001472279,0.007280309,0.00007004316,0.000098069,0.00003179533,0.0006766469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3253466,"threshold_uncertainty_score":0.9998145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05516460183844332,"score_gpt":0.2421098089719717,"score_spread":0.1869452071335283,"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."}}