{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007818498,0.00007832978,0.0001712889,0.0000695885,0.0005568227,0.0000403627,0.000340366,0.00006383804,0.0001019168],"category_scores_gemma":[0.001352301,0.00006860371,0.00005828905,0.0002437758,0.0001647303,0.00017102,0.0001804918,0.0002489929,0.00000705965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004582289,"about_ca_system_score_gemma":0.0001359197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000949097,"about_ca_topic_score_gemma":0.001747168,"domain_scores_codex":[0.9988233,0.0001462353,0.0002687853,0.0001817179,0.0003985151,0.0001813802],"domain_scores_gemma":[0.9994156,0.0001669079,0.00006791433,0.00006519955,0.0002221881,0.00006214587],"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":[0.00003761205,0.0001071535,0.04708888,0.001237057,0.00004505288,0.00002368197,0.08900045,0.000006859766,0.00003913222,0.5239703,0.01220126,0.3262425],"study_design_scores_gemma":[0.0006507655,0.00004511713,0.1957629,0.09365036,0.0000920198,0.00001831141,0.007711863,0.0001423895,0.00001020804,0.02077075,0.6806213,0.000524118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09416928,0.03237058,0.00002744665,0.7161343,0.002726934,0.0007494304,0.000007420317,0.0001018672,0.1537128],"genre_scores_gemma":[0.9598392,0.03061324,0.0002448163,0.007936215,0.0001048616,0.00000867355,0.000005178499,0.000002573725,0.001245223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8656699,"threshold_uncertainty_score":0.4282686,"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."}}