{"id":"W4411433718","doi":"10.1111/inr.70053","title":"Diversity, Not Uniformity, in Culturally (and Ethically) Pertinent Training","year":2025,"lang":"en","type":"article","venue":"International Nursing Review","topic":"Cultural Competency in Health Care","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Acknowledgement; Diversity (politics); Equity (law); Cultural diversity; Relevance (law); Diversity training; Nursing; Nurse education; Sociology; Engineering ethics; Political science; Public relations; Psychology; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04986371,0.0003373936,0.000939519,0.0012279,0.002554295,0.00700692,0.001971017,0.002633596,0.001943895],"category_scores_gemma":[0.06841713,0.000337629,0.0005288525,0.001677841,0.02990857,0.0102831,0.01061856,0.006056985,0.0003069162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004592407,"about_ca_system_score_gemma":0.01692316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003970718,"about_ca_topic_score_gemma":0.005725356,"domain_scores_codex":[0.9511688,0.03538702,0.002638095,0.002905616,0.005712155,0.002188335],"domain_scores_gemma":[0.9407597,0.04182664,0.00517421,0.005607854,0.004551846,0.00207972],"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":[0.00008202758,0.00008136471,0.006143217,0.006394502,0.0001552558,0.0002475146,0.05768685,0.000602758,0.0007202611,0.6563704,0.01293389,0.2585819],"study_design_scores_gemma":[0.00005220548,0.000307357,0.0207538,0.03697256,0.0001676512,0.001273299,0.06749032,0.0003302375,0.001159135,0.4500086,0.4213895,0.00009533832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0866185,0.2393893,0.04696925,0.4206179,0.008396654,0.0002755323,0.0001627067,0.00009389633,0.1974762],"genre_scores_gemma":[0.8735254,0.04879726,0.0124638,0.05810579,0.001982065,0.0003506168,0.00008934987,0.00006941157,0.00461633],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04986371,"threshold_uncertainty_score":0.2637076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08416125083879537,"score_gpt":0.4292008223168021,"score_spread":0.3450395714780067,"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."}}