{"id":"W3122728087","doi":"10.1016/j.ijnurstu.2021.103887","title":"The “nurse as hero” discourse in the COVID-19 pandemic: A poststructural discourse analysis","year":2021,"lang":"en","type":"article","venue":"International Journal of Nursing Studies","topic":"Leadership, Courage, and Heroism Studies","field":"Psychology","cited_by":259,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; SickKids Foundation; University of Toronto","funders":"","keywords":"HERO; Politics; Newspaper; Mass media; Discourse analysis; Sociology; Front line; Subjectivity; Psychology; Media studies; Nursing; Medicine; Political science; Literature; Law; Linguistics","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":[0.001142372,0.0002214666,0.0004457386,0.0002670458,0.0004337091,0.0001730023,0.000804284,0.00006265448,0.00008946908],"category_scores_gemma":[0.001039083,0.0001188523,0.0005111079,0.0004898401,0.0009087388,0.000175362,0.00003913903,0.0005445515,0.00001395828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004645343,"about_ca_system_score_gemma":0.000177547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009316439,"about_ca_topic_score_gemma":0.0009126111,"domain_scores_codex":[0.997256,0.0006031041,0.0006822904,0.0002477124,0.0008585559,0.000352349],"domain_scores_gemma":[0.9969832,0.00150815,0.0005081006,0.0002734425,0.0006431179,0.00008394686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009440845,0.0006535353,0.08536791,0.000008650085,0.02145354,0.002630507,0.7940409,0.0003841404,0.00004998053,0.01820177,0.03613244,0.04013257],"study_design_scores_gemma":[0.001191881,0.00009901811,0.04343752,0.00009925103,0.001110176,0.001890199,0.9386271,0.000008392056,0.000004535333,0.01009317,0.003279328,0.0001593821],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7732823,0.02191441,0.0001553529,0.1979181,0.004551395,0.00009541006,0.00001559378,0.0000137497,0.002053749],"genre_scores_gemma":[0.9951372,0.0009882356,0.00005249227,0.001542413,0.0009379099,0.00001029659,0.0000045775,0.0000132128,0.001313639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.221855,"threshold_uncertainty_score":0.4846658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.170597071888436,"score_gpt":0.5288575784780546,"score_spread":0.3582605065896186,"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."}}