{"id":"W2978897034","doi":"10.22329/il.v39i3.5493","title":"Emotive Meaning in Political Argumentation","year":2019,"lang":"en","type":"article","venue":"Informal Logic","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Social Sciences and Humanities Research Council of Canada","keywords":"Emotive; Presupposition; Argumentation theory; Connotation; Meaning (existential); Psychology; Epistemology; Politics; Social psychology; Cognitive psychology; Linguistics; Philosophy; Psychotherapist; Political science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005658676,0.000342138,0.0003050332,0.001812489,0.003707975,0.008057855,0.00072973,0.002219602,0.001751513],"category_scores_gemma":[0.01609816,0.0002806768,0.0002452876,0.001538214,0.01960056,0.007789774,0.003685143,0.002306648,0.0002782622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002956728,"about_ca_system_score_gemma":0.001023756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036619,"about_ca_topic_score_gemma":0.0009841243,"domain_scores_codex":[0.9909201,0.007800863,0.0001618707,0.0003085583,0.0005868003,0.0002217948],"domain_scores_gemma":[0.9904119,0.00798899,0.0005804509,0.0002661396,0.0005765982,0.0001758975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004517885,0.00002464387,0.0004889839,0.0001345392,0.00001176894,0.0002201891,0.08238932,0.0003072114,0.0006428664,0.8999528,0.001990199,0.01379235],"study_design_scores_gemma":[0.0000329404,0.00004097803,0.002058652,0.0004046779,0.00001691057,0.000249848,0.04274437,0.002106606,0.0008839947,0.8372653,0.1141501,0.00004574736],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3795269,0.01750457,0.08492832,0.05908007,0.001490944,0.000136403,0.00009115577,0.0001388552,0.4571029],"genre_scores_gemma":[0.9908461,0.001156376,0.003784741,0.0006575969,0.000175931,0.00005679497,0.00001438211,0.00003598167,0.003272109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008057855,"threshold_uncertainty_score":0.0299263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375319866932524,"score_gpt":0.2728871743126417,"score_spread":0.2491339756433165,"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."}}