{"id":"W3123283535","doi":"","title":"Design Performances: How Organizations Inscribe Artifacts to Change Routines","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Artifact (error); Generativity; Performativity; Agency (philosophy); Computer science; Enforcement; Patrolling; Dynamics (music); Knowledge management; Action (physics); Sociotechnical system; Human–computer interaction; Sociology; Artificial intelligence; Psychology; Social psychology; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01241376,0.0009913496,0.000354953,0.002112024,0.004144283,0.008354471,0.002028948,0.001931177,0.002505202],"category_scores_gemma":[0.02871004,0.0006998396,0.0006416035,0.001114482,0.02416965,0.009022633,0.007226449,0.002395088,0.0005929876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002418188,"about_ca_system_score_gemma":0.002688949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001375296,"about_ca_topic_score_gemma":0.001936425,"domain_scores_codex":[0.976746,0.01773811,0.0006942251,0.001408036,0.002443085,0.0009705576],"domain_scores_gemma":[0.9779453,0.01178839,0.00215437,0.006270887,0.0009891052,0.0008520131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009928638,0.000224224,0.01420192,0.0004747995,0.00006632329,0.0008034806,0.4669156,0.003665102,0.01115206,0.4282596,0.002190585,0.07194689],"study_design_scores_gemma":[0.0000794164,0.0007500573,0.01435993,0.0009857856,0.0001233398,0.001945879,0.3380064,0.01247468,0.01679456,0.2359018,0.3783093,0.0002688329],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.560538,0.0006435243,0.2955806,0.003719687,0.0001835607,0.0005443917,0.0000983135,0.0006449189,0.1380471],"genre_scores_gemma":[0.942894,0.000165588,0.05145076,0.0001925458,0.00001774333,0.0002028763,0.00005910972,0.0001790465,0.004838369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01241376,"threshold_uncertainty_score":0.065651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06045576484979334,"score_gpt":0.3380415927081498,"score_spread":0.2775858278583564,"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."}}