{"id":"W4307086216","doi":"10.32920/21383907.v1","title":"Discrimination in “the City”: Race, Class, and Gender in Toni Morrison’s Jazz","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Lunds Universitet; European Commission","keywords":"Jazz; Oppression; Harlem Renaissance; Gender studies; African american; Race (biology); White (mutation); Class (philosophy); Alienation; Nobel laureate; Sociology; Space (punctuation); Politics; History; Art; Art history; Anthropology; Political science; Literature; Law; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001558003,0.000398578,0.000367125,0.0005853575,0.01572057,0.006777547,0.0006936117,0.001260583,0.002514578],"category_scores_gemma":[0.002434461,0.0002529117,0.0001639697,0.0007081328,0.01761601,0.002782679,0.00364972,0.003783796,0.0002502664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004973899,"about_ca_system_score_gemma":0.002316385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0408857,"about_ca_topic_score_gemma":0.07808029,"domain_scores_codex":[0.9983809,0.00109808,0.00001911411,0.0001108005,0.0001630759,0.0002279513],"domain_scores_gemma":[0.9990969,0.0004188041,0.0001248324,0.00003009374,0.00007266566,0.0002568239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008466699,0.0000646382,0.002623606,0.00008020453,0.00001362574,0.0010306,0.751761,0.00006660467,0.0006121085,0.131859,0.1003878,0.01141605],"study_design_scores_gemma":[0.00001269276,0.00003609268,0.005648314,0.0002026152,0.0000125842,0.0004275196,0.517663,0.00006370265,0.0003943285,0.008283179,0.4672253,0.00003070657],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5005468,0.01688446,0.0009166238,0.277892,0.003779629,0.00003956336,0.0001044382,0.00003922737,0.1997973],"genre_scores_gemma":[0.9613246,0.003065682,0.000179725,0.008552974,0.0005903778,0.00003665014,0.0000187839,0.00005112489,0.02618014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0408857,"threshold_uncertainty_score":0.08129543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05650596760321629,"score_gpt":0.3441825462195482,"score_spread":0.2876765786163319,"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."}}