{"id":"W4313231318","doi":"10.29173/iq1079","title":"Systemic racism in data practices","year":2022,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Literacy; Diversity (politics); Sociology; Public relations; Political science; Library science; Media studies; Pedagogy; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001899727,0.00009170494,0.0001870321,0.00011421,0.0001246763,0.00005098433,0.0005845029,0.00002625849,0.0004594164],"category_scores_gemma":[0.002320283,0.00009108434,0.00002028038,0.000191544,0.00002575153,0.000138394,0.00009849196,0.0002252971,0.00004490769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008805839,"about_ca_system_score_gemma":0.0001285553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007972296,"about_ca_topic_score_gemma":0.0001142628,"domain_scores_codex":[0.9982644,0.0007046111,0.0003246498,0.0002884533,0.000244415,0.0001734607],"domain_scores_gemma":[0.9961195,0.002540685,0.0004393165,0.0008366784,0.00002711108,0.00003671212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001777951,0.001415352,0.005496928,0.0006113792,0.000120943,0.0002163672,0.03938035,0.000009752585,0.001252331,0.186001,0.6237214,0.1415965],"study_design_scores_gemma":[0.002696575,0.000797407,0.02175451,0.0001432324,0.0002396602,0.001075998,0.2591359,0.003021019,0.0000707322,0.4542604,0.255596,0.001208586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8836604,0.001836061,0.06607907,0.01091265,0.01353715,0.00195889,0.00213723,0.0008033437,0.01907524],"genre_scores_gemma":[0.920999,0.000006479301,0.07474831,0.0001799262,0.0001061692,0.000165956,0.0001254762,0.00002438842,0.003644314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3681253,"threshold_uncertainty_score":0.5030288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5150763359525782,"score_gpt":0.513058388855439,"score_spread":0.002017947097139206,"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."}}