{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002806711,0.00008264543,0.0000969141,0.00008797096,0.004053566,0.0008278836,0.0003892833,0.00004399837,0.00008777212],"category_scores_gemma":[0.0004087717,0.00007277026,0.00002752201,0.000173194,0.00005616074,0.00214658,0.00003350074,0.0002716931,0.0001165043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000544668,"about_ca_system_score_gemma":0.0012537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004665253,"about_ca_topic_score_gemma":0.004439115,"domain_scores_codex":[0.9981218,0.0001180968,0.0001860124,0.00007851879,0.0003145553,0.00118099],"domain_scores_gemma":[0.9990542,0.00002100659,0.0003020281,0.0001547972,0.0003610758,0.0001069078],"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":[0.00003577172,0.00002389738,0.009724026,0.000006683477,0.00006802964,6.909851e-7,0.09595973,0.00003946937,0.0001149564,0.821961,0.001872725,0.07019297],"study_design_scores_gemma":[0.001714628,0.0008447298,0.01142526,0.0001027938,0.0000671838,0.00009155223,0.3776889,0.0003730594,0.001079517,0.09486715,0.5108904,0.0008547797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2559995,0.0003986166,0.6230547,0.09638038,0.00321895,0.002007601,0.00001108863,0.0001822992,0.01874689],"genre_scores_gemma":[0.9953627,0.0008395288,0.0002270969,0.0003831818,0.0008439273,0.00001805301,0.000003676874,0.000009651234,0.002312205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7393631,"threshold_uncertainty_score":0.997243,"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."}}