{"id":"W3136163106","doi":"10.29173/irie11","title":"Cybernetic Pluralism in an Emerging Global Information and Computing","year":2007,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cybernetics; Pluralism (philosophy); TRACE (psycholinguistics); Engineering ethics; Epistemology; Data science; Computer science; Sociology; Environmental ethics; Cognitive science; Management science; Psychology; Philosophy; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01109987,0.00006252225,0.0001093721,0.00006997149,0.0002337558,0.0001487309,0.0003362945,0.0001176741,0.00002753022],"category_scores_gemma":[0.005838015,0.00005063995,0.00003335681,0.0002496,0.0002084673,0.003041221,0.00006384548,0.0003929201,0.00001062986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001443486,"about_ca_system_score_gemma":0.000243719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002411408,"about_ca_topic_score_gemma":0.002016145,"domain_scores_codex":[0.9982167,0.0001318352,0.0006436386,0.00003695212,0.0008273398,0.0001434727],"domain_scores_gemma":[0.9979833,0.0005015061,0.0004111183,0.00008095933,0.0009651243,0.00005795238],"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":[0.000007281894,0.000007588483,0.001550027,0.000303075,0.0000077635,1.595372e-7,0.06536125,0.0000424534,0.00000108195,0.837209,0.0001859083,0.09532439],"study_design_scores_gemma":[0.00127478,0.0001334129,0.1602028,0.01271402,0.00005558432,0.00001381743,0.08891291,0.004711251,0.00004319326,0.1487786,0.58243,0.0007296287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3434282,0.004561989,0.01480245,0.3187272,0.001988312,0.001451821,0.00005502595,0.0001200099,0.314865],"genre_scores_gemma":[0.9661913,0.01516277,0.0005199835,0.01799729,0.0000827536,0.000001340772,0.00003543852,0.000001636587,0.000007512989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6884304,"threshold_uncertainty_score":0.6989071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0549526083262091,"score_gpt":0.4437237846867064,"score_spread":0.3887711763604973,"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."}}