{"id":"W4382918838","doi":"10.1111/jmwh.13541","title":"Disrupting Racism in Ontario Midwifery","year":2023,"lang":"en","type":"article","venue":"Journal of Midwifery & Women s Health","topic":"Cultural Competency in Health Care","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Medical Association; Association of Ontario Midwives","funders":"Association of Ontario Midwives; McMaster University","keywords":"Racism; Thematic analysis; Mentorship; Health care; Tokenism; Context (archaeology); Obstetrics; Nursing; Sociology; Psychology; Medicine; Qualitative research; Gender studies; Medical education; Political science; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008378619,0.0001895735,0.0006634641,0.0005433384,0.0006844444,0.00008667832,0.0005134269,0.0001454917,0.0004136631],"category_scores_gemma":[0.0007691962,0.0001705819,0.0001663149,0.001304381,0.0001196037,0.000578227,0.00007449975,0.001161446,0.00009913636],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005760151,"about_ca_system_score_gemma":0.005447318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05131106,"about_ca_topic_score_gemma":0.3892256,"domain_scores_codex":[0.9950399,0.00082577,0.001450588,0.0002441503,0.001119139,0.00132041],"domain_scores_gemma":[0.9972896,0.000589629,0.0008696209,0.0002020891,0.0002919455,0.0007571229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000352856,0.0002302464,0.2290441,0.0003839334,0.0000604432,0.000637606,0.7059895,0.0003465833,0.00008903565,0.00280439,0.01768423,0.04237703],"study_design_scores_gemma":[0.001245697,0.0006809223,0.5206364,0.0008030729,0.00000782413,0.00008543736,0.1265489,0.00001933797,0.000005829207,0.004826752,0.3447275,0.0004123427],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798802,0.0007160399,0.000003365612,0.01365538,0.00237945,0.0003134786,0.000003840526,0.00006739042,0.002980893],"genre_scores_gemma":[0.9922944,0.001178236,0.0003018854,0.001893111,0.0008935524,0.00001577197,0.00000371101,0.00002230271,0.003397006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5794406,"threshold_uncertainty_score":0.9980565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06888804721562987,"score_gpt":0.3855204532512524,"score_spread":0.3166324060356226,"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."}}