{"id":"W2605399215","doi":"10.5465/amj.2014.0842","title":"Design Performances: How Organizations Inscribe Artifacts to Change Routines","year":2017,"lang":"en","type":"article","venue":"Academy of Management Journal","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Artifact (error); Performativity; Generativity; Agency (philosophy); Computer science; Sociotechnical system; Enforcement; Knowledge management; Dynamics (music); Patrolling; Action (physics); Human–computer interaction; Sociology; Artificial intelligence; Social psychology; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008093158,0.0001367466,0.0001587616,0.0003381645,0.001007419,0.0008811614,0.002597834,0.00005495983,0.00003316944],"category_scores_gemma":[0.0001654836,0.0001247663,0.00003435376,0.0005881389,0.00005172637,0.002537142,0.0008483672,0.0002560723,0.00009399316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004307343,"about_ca_system_score_gemma":0.00002191578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001996271,"about_ca_topic_score_gemma":4.793492e-7,"domain_scores_codex":[0.9986736,0.00004744695,0.0002943852,0.000221762,0.0004565271,0.0003062639],"domain_scores_gemma":[0.9987727,0.00003187364,0.0004742073,0.000412135,0.0001807127,0.0001283535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003348093,0.0003863609,0.05601077,0.0001577074,0.0005883274,0.0000683197,0.01119065,0.002633688,0.0007848393,0.2241969,0.1156022,0.5883467],"study_design_scores_gemma":[0.002017902,0.0003584698,0.6938515,0.0006743473,0.0001333365,0.0001810572,0.0006612673,0.01428294,0.01125007,0.02421341,0.2511652,0.001210484],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009126714,0.00003750661,0.8926699,0.09594575,0.0003192994,0.0004167572,0.000001056379,0.00007312668,0.001409916],"genre_scores_gemma":[0.8132742,0.000121996,0.1828345,0.002715152,0.0002087527,0.00002038309,5.358835e-7,0.00001445381,0.0008100675],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8041475,"threshold_uncertainty_score":0.8497059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09237899037117998,"score_gpt":0.3103654928012181,"score_spread":0.2179865024300381,"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."}}