{"id":"W2048941574","doi":"10.1007/s10502-012-9174-5","title":"Genre systems and “keeping track” in everyday life","year":2012,"lang":"en","type":"article","venue":"Archives and Museum Informatics","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Ethnography; Everyday life; Perspective (graphical); Track (disk drive); Action (physics); Focus (optics); Sociology; Participant observation; Cultural heritage; Visual arts; Public relations; History; Computer science; Art; Political science; Social science; Anthropology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005081526,0.000073914,0.0001565586,0.0001184745,0.0002747245,0.0001485503,0.00009948476,0.0000249404,0.000004952095],"category_scores_gemma":[0.000113583,0.00006386574,0.00002439287,0.00009719123,0.0001385159,0.0008007402,0.0000887464,0.00009460791,0.000004328283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005355048,"about_ca_system_score_gemma":0.00003097362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004035171,"about_ca_topic_score_gemma":0.0001331303,"domain_scores_codex":[0.9991353,0.00007266347,0.000290655,0.00005172129,0.0001321301,0.0003175619],"domain_scores_gemma":[0.9993873,0.0002110283,0.00008717272,0.00009611913,0.000004683134,0.0002136901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009226958,0.00006759191,0.1687317,0.0003363265,0.00005648692,0.000001234209,0.5887547,0.00009924407,0.00005421907,0.1306592,0.0003784329,0.1108517],"study_design_scores_gemma":[0.0006797816,0.00004558866,0.2683517,0.0004598739,0.00006117323,0.00000977875,0.3024659,0.03145372,0.00000677802,0.0007272486,0.3951369,0.0006015304],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221565,0.001185392,0.001437364,0.0003302816,0.0001288408,0.0002760732,0.00001963269,0.00003572687,0.0744302],"genre_scores_gemma":[0.9965535,0.001933994,0.001058817,0.0002187343,0.0001127061,0.000007527459,0.000007742917,0.000004114333,0.0001028288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3947585,"threshold_uncertainty_score":0.2604369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02055123639676582,"score_gpt":0.2750988493591497,"score_spread":0.2545476129623839,"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."}}