{"id":"W4366827069","doi":"10.5430/wjel.v13n5p392","title":"A Critical Discourse Analysis of President Donald Trump’s Speeches during the Coronavirus Pandemic Crisis","year":2023,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Sociopolitical Dynamics in Russia","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ideology; Coronavirus disease 2019 (COVID-19); Critical discourse analysis; Coronavirus; Linguistics; Superlative; Pandemic; Political science; Sociology; Politics; Philosophy; Law; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002099057,0.0001299245,0.0004365032,0.0005587644,0.0002868904,0.00009935632,0.000646496,0.00008152061,0.0006191611],"category_scores_gemma":[0.006444932,0.00009359705,0.0005083825,0.002003819,0.0006986939,0.0002493133,0.0001057491,0.0004961684,0.00000727006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002237485,"about_ca_system_score_gemma":0.0001341298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009912157,"about_ca_topic_score_gemma":0.005373742,"domain_scores_codex":[0.997341,0.0004328297,0.0006030205,0.0001602685,0.0009951764,0.0004677344],"domain_scores_gemma":[0.9968309,0.00202148,0.0002676312,0.0002673898,0.0003999204,0.0002126458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002027687,0.00034301,0.3639167,0.0001151101,0.003000169,0.0006875978,0.4551051,0.00116023,0.0005716882,0.1680663,0.004649953,0.002181422],"study_design_scores_gemma":[0.0006827203,0.00005562887,0.5162543,0.0001626017,0.002672159,0.000005421425,0.4689555,0.0002098369,0.0002679221,0.0070844,0.003277947,0.0003716184],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898931,0.0008182878,0.0000200643,0.002455437,0.0007647657,0.00008880475,0.00004881313,0.00005694885,0.005853751],"genre_scores_gemma":[0.9972939,0.0002190109,0.0001363789,0.0001430392,0.001023015,0.000003618001,0.000002289137,0.00001639344,0.001162392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1609819,"threshold_uncertainty_score":0.7715651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02741204681170572,"score_gpt":0.3822885644499327,"score_spread":0.354876517638227,"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."}}