{"id":"W2980407019","doi":"10.1515/sem-2019-0067","title":"Ejecting protestors, interpellating supporters: The interactional pragmatics of expulsion at Trump’s campaign rallies","year":2019,"lang":"en","type":"article","venue":"Semiotica","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Politics; Sociology; Pragmatics; Narrative; Directive; Bureaucracy; Persona; Media studies; Action (physics); Semiotics; Political communication; Law; Populism; Political science; Linguistics; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003823064,0.0001503857,0.0002679446,0.00007149386,0.0002708469,0.00008433437,0.0001971348,0.00002768099,0.006476294],"category_scores_gemma":[0.0002652726,0.0000937399,0.0001433287,0.00004155559,0.0002503762,0.0001831095,0.0001958051,0.0001745593,0.0001526921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006148636,"about_ca_system_score_gemma":0.00001911922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009325473,"about_ca_topic_score_gemma":0.0005022387,"domain_scores_codex":[0.9988289,0.00008876669,0.0004047864,0.0001835063,0.0002895106,0.0002045396],"domain_scores_gemma":[0.9987486,0.0005090885,0.0003155829,0.0002923743,0.0001106461,0.00002372276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001696254,0.0003771329,0.04498314,0.0009283876,0.001713426,0.00001445917,0.7890171,0.0006225942,0.00540549,0.1218939,0.02704703,0.007827724],"study_design_scores_gemma":[0.001079584,0.0006896981,0.002284091,0.002624081,0.0007612621,0.00004583872,0.8824845,0.009390452,0.007333734,0.005075753,0.08706255,0.001168475],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8761532,0.0001935456,0.0000524286,0.0008274608,0.0007246677,0.0003852579,0.00001546893,0.00004885592,0.1215991],"genre_scores_gemma":[0.9881715,0.000007706324,0.0002891998,0.0001353399,0.000346086,0.000009368667,0.0000144903,0.00001902167,0.01100733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1168181,"threshold_uncertainty_score":0.9944319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667573578618561,"score_gpt":0.2531385375466771,"score_spread":0.2364628017604915,"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."}}