{"id":"W3206493376","doi":"10.1177/10323732211040272","title":"The centrality of ethical utterances within professional narratives","year":2021,"lang":"en","type":"article","venue":"Accounting History","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; York University","funders":"","keywords":"Centrality; Situational ethics; Variety (cybernetics); Professional ethics; Narrative; Ethical code; Sociology; Meta-ethics; Professional conduct; Engineering ethics; Public relations; Information ethics; Psychology; Political science; Social psychology; Linguistics; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002356874,0.00004689534,0.0001050582,0.00001716439,0.0006343911,0.00001954454,0.0001555803,0.00007255007,0.000266478],"category_scores_gemma":[0.0009578828,0.00003424987,0.00007877222,0.0001579911,0.0005059225,0.00008657635,0.00003408818,0.000245627,0.000004613482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00012035,"about_ca_system_score_gemma":0.0007680631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003098945,"about_ca_topic_score_gemma":0.001512755,"domain_scores_codex":[0.9983038,0.000779661,0.0002125727,0.0001302134,0.0004488223,0.0001249872],"domain_scores_gemma":[0.9985389,0.0008648308,0.0001722249,0.00008739889,0.0003085394,0.00002816241],"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":[0.00003757928,0.0001507146,0.03270146,0.00004500999,0.0001228859,0.000008837352,0.2167843,0.00008716669,0.003635717,0.6981665,0.03011907,0.01814067],"study_design_scores_gemma":[0.00009835858,0.000004220189,0.02975086,0.00003838303,0.00001490765,5.354918e-7,0.01666377,0.0001208235,0.0002374939,0.03270035,0.9202634,0.0001068596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207662,0.00531789,0.0007611927,0.02644249,0.00424903,0.0001021505,0.000001871458,0.0000538699,0.04230531],"genre_scores_gemma":[0.9879523,0.00002582936,0.003202616,0.0006629303,0.0002715746,0.000004156771,0.000002425439,0.000003371629,0.007874777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8901443,"threshold_uncertainty_score":0.4879287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0423360335696578,"score_gpt":0.3735205362418797,"score_spread":0.3311845026722219,"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."}}