{"id":"W2282546739","doi":"10.1515/ijsl-2015-0026","title":"The language of power: a content analysis of presidential addresses in North America and the Former Soviet Union, 1993–2012","year":2015,"lang":"en","type":"article","venue":"International Journal of the Sociology of Language","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Presidential system; Convergence (economics); Politics; Content analysis; Context (archaeology); Soviet union; Political science; Power (physics); Political economy; Liberalism; Presidential election; Economic history; Economic system; Economy; Sociology; Social science; Economics; Economic growth; Law; History","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":[],"consensus_categories":[],"category_scores_codex":[0.0005432679,0.00006704617,0.0002609368,0.0001379857,0.00003163124,0.00002119717,0.0005378356,0.00003221105,0.00003551962],"category_scores_gemma":[0.0004176219,0.0000311839,0.0001759138,0.0001775299,0.001086713,0.0002597807,0.0001380723,0.0001284107,8.603947e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000107287,"about_ca_system_score_gemma":0.00004991799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002763016,"about_ca_topic_score_gemma":0.001137879,"domain_scores_codex":[0.9990518,0.00008253655,0.0004481337,0.00005146346,0.0002664228,0.00009961685],"domain_scores_gemma":[0.9983342,0.0002423426,0.0008918071,0.0001092455,0.0004135066,0.000008870133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003513984,0.0005154083,0.6996567,0.0001261313,0.01095486,0.0001004217,0.07849409,0.002678302,0.008380332,0.1854083,0.004690228,0.005481245],"study_design_scores_gemma":[0.003069677,0.00008099691,0.7946995,0.00009636268,0.001021965,0.00001536354,0.1832424,0.0004017377,0.0005112017,0.01593824,0.0007736777,0.0001488545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946805,0.001651713,0.00002943961,0.002476254,0.0002010785,0.00005720235,0.00001652838,0.000001638866,0.0008856482],"genre_scores_gemma":[0.9993085,0.00005492581,0.00001020597,0.0004373417,0.0001196001,0.000001449233,0.000004510687,0.000003060994,0.0000604153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1694701,"threshold_uncertainty_score":0.4176872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03097515474819088,"score_gpt":0.2914206091776196,"score_spread":0.2604454544294287,"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."}}