{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002239786,0.0001717634,0.0001866962,0.0001471926,0.001329367,0.0001484024,0.0001559888,0.0001117114,0.00005741825],"category_scores_gemma":[0.0001453956,0.0001641346,0.00002675237,0.0004247542,0.0008831377,0.0003384647,0.00005385167,0.0001216257,8.38688e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002796811,"about_ca_system_score_gemma":0.000113801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002494441,"about_ca_topic_score_gemma":0.00005020532,"domain_scores_codex":[0.9984649,0.0001483915,0.0001974845,0.0004566505,0.0003143015,0.0004182172],"domain_scores_gemma":[0.999502,0.00007035949,0.00008155143,0.0001326642,0.00006761966,0.0001458205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001519122,0.0001035305,0.03690416,0.00004967457,0.00004190932,0.00000894647,0.8851413,0.00003837105,0.006036927,0.01296931,0.006443087,0.05211089],"study_design_scores_gemma":[0.0003818357,0.00008861733,0.005869718,0.004108704,0.00006553187,0.000003971078,0.9804165,0.000193632,0.0006659359,0.007386727,0.0004508971,0.0003679416],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873325,0.007497082,0.000928519,0.0007006816,0.00108229,0.000385875,0.00001247386,0.00005305867,0.002007505],"genre_scores_gemma":[0.9979619,0.001194847,0.0004776747,0.00009412153,0.0001295652,0.00001023623,0.000003341879,0.000009284068,0.000119071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09527521,"threshold_uncertainty_score":0.9999708,"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."}}