{"id":"W4413538239","doi":"10.1111/nin.70049","title":"Using a Structural Lens to Understand and Address Aggression and Violence Experienced by Emergency Department Nurses: Beyond Individualistic Perspectives","year":2025,"lang":"en","type":"article","venue":"Nursing Inquiry","topic":"Workplace Violence and Bullying","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; University of British Columbia","funders":"","keywords":"Aggression; Thematic analysis; Psychology; Individualism; Structural violence; Social psychology; Emergency department; Poison control; Sociology; Medicine; Qualitative research; Political science; Psychiatry; Medical emergency; Social science; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008379831,0.0007691504,0.0004595788,0.006016577,0.007063478,0.006468425,0.002073182,0.001160098,0.001700792],"category_scores_gemma":[0.01127266,0.0003319897,0.0004172692,0.004133636,0.02415817,0.005085209,0.006119584,0.002238246,0.0001134836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0152566,"about_ca_system_score_gemma":0.01657698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08044711,"about_ca_topic_score_gemma":0.1874803,"domain_scores_codex":[0.9912605,0.006413029,0.0002736404,0.0003782815,0.001044113,0.0006304082],"domain_scores_gemma":[0.9906278,0.005969303,0.001421297,0.0005253179,0.001093399,0.0003629972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002751563,0.00003895216,0.02226564,0.0005821266,0.00003419382,0.0004553862,0.8114737,0.000408212,0.0009936083,0.1391331,0.0009330685,0.02365449],"study_design_scores_gemma":[0.000007781619,0.00006234496,0.02005738,0.0006447447,0.00004961883,0.0003838843,0.8918343,0.0006209012,0.0006444589,0.04000885,0.04566296,0.00002268369],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6758289,0.007153249,0.1375797,0.03673738,0.000466591,0.0007479762,0.0004474383,0.0001200801,0.1409188],"genre_scores_gemma":[0.9804411,0.001542124,0.0148889,0.0008319383,0.00004167553,0.000226561,0.00007484453,0.00002776581,0.001925046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08044711,"threshold_uncertainty_score":0.1599577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05938410312869511,"score_gpt":0.4106966929180456,"score_spread":0.3513125897893505,"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."}}