{"id":"W3023242059","doi":"10.1287/orsc.2020.1377","title":"Make Way for the Algorithms: Symbolic Actions and Change in a Regime of Knowing","year":2020,"lang":"en","type":"article","venue":"Organization Science","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Vrije Universiteit Amsterdam; Canada Research Chairs; University of Warwick; London School of Economics and Political Science","keywords":"Conformity; The Symbolic; Process (computing); Computer science; Technological change; Work (physics); Sociology; Epistemology; Artificial intelligence; Social psychology; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.000223557,0.00005813365,0.0000759391,0.0001178633,0.0003369895,0.0001275596,0.000192288,0.00001216158,0.00005986884],"category_scores_gemma":[0.0006152278,0.00004465338,0.00000822364,0.003014749,0.0001149371,0.000648694,0.000202666,0.00002499944,0.00001153241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001079505,"about_ca_system_score_gemma":0.00001130015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006585495,"about_ca_topic_score_gemma":0.00003645919,"domain_scores_codex":[0.9994246,0.000001968307,0.0001198906,0.0001698832,0.0001754115,0.0001082992],"domain_scores_gemma":[0.9995458,0.00003755892,0.00008238771,0.00006739639,0.000259777,0.000007123831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001633202,0.00009595013,0.5363817,0.0004788766,0.00003749668,0.000001444048,0.007439082,0.0002292984,0.009376583,0.4028217,0.003386501,0.0397351],"study_design_scores_gemma":[0.0005863866,0.00001280675,0.9005454,0.00004066678,0.0000578611,5.480215e-7,0.0022079,0.04301481,0.0008755866,0.001102108,0.05132231,0.0002335686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5036286,0.001907538,0.2587157,0.2126756,0.001961306,0.006023469,0.00002109358,0.0006163553,0.01445042],"genre_scores_gemma":[0.997135,0.00005100137,0.0003883192,0.002029036,0.000317102,0.00001094099,0.000004053879,0.000009345649,0.00005518806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4935065,"threshold_uncertainty_score":0.2591885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05865442921150216,"score_gpt":0.2667534843881407,"score_spread":0.2080990551766385,"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."}}