{"id":"W4372294856","doi":"10.1111/1911-3838.12336","title":"A Knowledge Synthesis of Anti‐Black Racism in Accounting Research*<sup>†</sup>","year":2023,"lang":"en","type":"article","venue":"Accounting Perspectives","topic":"Accounting Education and Careers","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada; Sheffield Hallam University","keywords":"Racism; Racialization; Sociology; Intersectionality; Diversity (politics); Race (biology); Gender studies; Political science; Accounting; Business; Anthropology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00518602,0.000409396,0.0006300572,0.003434835,0.0004982324,0.0006652449,0.001003514,0.0002354385,0.0004045567],"category_scores_gemma":[0.00596091,0.0004234209,0.0002353863,0.007030244,0.0005462079,0.00245836,0.000676685,0.0007083428,0.002500019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002396096,"about_ca_system_score_gemma":0.0001991185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001814591,"about_ca_topic_score_gemma":0.0001713871,"domain_scores_codex":[0.9960412,0.00009472483,0.0007830059,0.000941592,0.0009654378,0.00117404],"domain_scores_gemma":[0.996249,0.001077278,0.0004455615,0.0006903587,0.001508399,0.00002943787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001604433,0.001453048,0.7567708,0.002450699,0.0002782116,0.00006435898,0.04946446,0.003428986,0.00373103,0.06119642,0.09480727,0.02619421],"study_design_scores_gemma":[0.001308173,0.00001887512,0.4979929,0.001279577,0.0001153447,0.00000584775,0.4042365,0.03406769,0.0005831549,0.005636354,0.05332824,0.001427385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316901,0.0002811895,0.00001436424,0.001548009,0.00032696,0.0004444287,0.00000526868,0.0004836422,0.06520606],"genre_scores_gemma":[0.9967299,0.00008653197,0.0000984947,0.0001958041,0.001856276,0.0001029818,0.00001804874,0.0001186071,0.0007934109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.354772,"threshold_uncertainty_score":0.9998218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04477023781584647,"score_gpt":0.3287527977833294,"score_spread":0.283982559967483,"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."}}