{"id":"W2062875456","doi":"10.1109/hicss.2012.328","title":"Institutional Ethnography: Mapping Out Textual Mediation and Ruling Relations in Information Systems Research","year":2012,"lang":"en","type":"article","venue":"","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Athabasca University","funders":"","keywords":"Ethnography; Sociology; Leverage (statistics); Mediation; Perspective (graphical); Epistemology; Field (mathematics); Through-the-lens metering; Knowledge management; Computer science; Social science; Lens (geology); Anthropology; Engineering; Artificial intelligence","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.04159226,0.0005903525,0.000544639,0.007313533,0.006702108,0.008731258,0.001900976,0.001560556,0.004441777],"category_scores_gemma":[0.06061359,0.000637092,0.0006162969,0.007871503,0.01678626,0.01589592,0.008168297,0.001908824,0.0004193326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004099466,"about_ca_system_score_gemma":0.006480854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005664096,"about_ca_topic_score_gemma":0.009637283,"domain_scores_codex":[0.940136,0.05408721,0.001220987,0.001551787,0.001679217,0.00132482],"domain_scores_gemma":[0.8806185,0.1013858,0.004674361,0.009675954,0.002654766,0.0009906759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009521232,0.00009475253,0.01583209,0.0006689617,0.00005427125,0.001135825,0.7914848,0.0008068591,0.001777619,0.1160634,0.002545555,0.06944056],"study_design_scores_gemma":[0.00007948117,0.0001364893,0.01038834,0.002001714,0.00008406149,0.0008256647,0.7706542,0.002994392,0.0029143,0.1231713,0.0866634,0.00008669448],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.467043,0.00498034,0.405308,0.01002061,0.000377996,0.002236861,0.0009424058,0.0005085918,0.1085824],"genre_scores_gemma":[0.9201006,0.001373262,0.07364304,0.000561379,0.00008289481,0.001282674,0.0002436997,0.0001496707,0.002562644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9932979,"threshold_uncertainty_score":0.2199635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1413032418616293,"score_gpt":0.4198746655950883,"score_spread":0.278571423733459,"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."}}