{"id":"W2894742749","doi":"10.7202/1051067ar","title":"Voice in The “Long 20th Century”: From Mechanical to Electrical Aurality1","year":2018,"lang":"en","type":"article","venue":"Recherches sémiotiques","topic":"Visual Culture and Art Theory","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Centre National de la Recherche Scientifique; University of Cambridge; Fordham University","keywords":"Phonograph; Context (archaeology); Value (mathematics); Ideology; Virtue; Aesthetics; Sociology; Media studies; Art; Visual arts; History; Engineering; Computer science; Electrical engineering; Political science; Law; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001207174,0.0001845959,0.0002242255,0.00006091207,0.0002091872,0.0002240587,0.0004514405,0.00013797,0.0007086815],"category_scores_gemma":[0.0003580198,0.0001138386,0.00009309153,0.0001127746,0.000143233,0.0001850754,0.00007326669,0.0004574727,0.0006331574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106754,"about_ca_system_score_gemma":0.0000385013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0018987,"about_ca_topic_score_gemma":0.01300491,"domain_scores_codex":[0.9979724,0.000883717,0.0002632008,0.0003074892,0.000213593,0.0003595984],"domain_scores_gemma":[0.9989414,0.0005370829,0.00004451224,0.0002885698,0.0001022649,0.00008622123],"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":[0.0001391874,0.0003128535,0.0002652155,0.00001009995,0.00004804261,0.00001531662,0.1846015,1.606762e-7,0.001961113,0.7720515,0.0291198,0.01147526],"study_design_scores_gemma":[0.0003374886,0.0008543867,0.003216183,0.0001150826,0.0000490381,0.0000049966,0.009138788,0.00007039341,0.01225307,0.1400909,0.8333263,0.0005433911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8537989,0.0006552242,0.0003447079,0.01051627,0.0006047956,0.0006396061,0.00002994819,0.0002891888,0.1331214],"genre_scores_gemma":[0.9885247,0.00005491815,0.0004906892,0.005815319,0.002431808,0.00002763883,0.00001753197,0.00002101155,0.002616372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8042065,"threshold_uncertainty_score":0.8138168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1477381151456797,"score_gpt":0.3585766788563739,"score_spread":0.2108385637106942,"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."}}