{"id":"W4205595591","doi":"10.1057/s41290-021-00147-w","title":"From reductive to generative crisis: businesspeople using polysemous justifications to make sense of COVID-19","year":2022,"lang":"en","type":"article","venue":"American Journal of Cultural Sociology","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Harvard University","keywords":"Sociology; Generative grammar; Context (archaeology); Epistemology; Sociology of culture; Coronavirus disease 2019 (COVID-19); Cognition; Government (linguistics); Positive economics; Social psychology; Psychology; Social science; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01254933,0.0008490442,0.0006706151,0.003128668,0.007940999,0.01235654,0.001689862,0.005068273,0.002635645],"category_scores_gemma":[0.0286123,0.000786364,0.0006825296,0.001407037,0.05788547,0.01961516,0.01229289,0.007988637,0.0004468328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003541702,"about_ca_system_score_gemma":0.00374615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002429271,"about_ca_topic_score_gemma":0.002801112,"domain_scores_codex":[0.9861588,0.01076253,0.0003392241,0.0007588429,0.001287608,0.0006928729],"domain_scores_gemma":[0.9816901,0.01181665,0.00200156,0.001843043,0.001595319,0.001053382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005862131,0.00003563227,0.00218172,0.00009081802,0.00001712834,0.0008962897,0.4691506,0.000338019,0.0008163005,0.517908,0.001669625,0.006837294],"study_design_scores_gemma":[0.00005231312,0.00006404277,0.001606994,0.0002500749,0.00002609297,0.001001889,0.3275582,0.003330849,0.0009943636,0.5918382,0.07320202,0.00007493702],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5718563,0.002005984,0.1442714,0.05361692,0.0005230542,0.0002416363,0.00009400087,0.0004088966,0.2269817],"genre_scores_gemma":[0.993284,0.0001681207,0.004267854,0.000564341,0.00003213116,0.00004401176,0.00002744495,0.00006172888,0.001550465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01254933,"threshold_uncertainty_score":0.06636798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739083675115099,"score_gpt":0.3064782743621737,"score_spread":0.2690874376110227,"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."}}