{"id":"W4389164547","doi":"10.22215/cjers.v16i2.4105","title":"The Linguistic Factor in the Deterrence Conversation between Russia and the West: If and How Russians Understand the Meaning of “Deterrence?”","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of European and Russian Studies","topic":"European and Russian Geopolitical Military Strategies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deterrence theory; Meaning (existential); Politics; Conversation; Elite; Deterrence (psychology); Political science; Alliance; Coercion (linguistics); Political economy; Social psychology; Sociology; Linguistics; Psychology; Law; Epistemology; Communication; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006853891,0.0004615575,0.000542046,0.001231079,0.01060083,0.008805684,0.0009544303,0.002452906,0.002295849],"category_scores_gemma":[0.01015813,0.0004336757,0.0002544335,0.001178381,0.01329255,0.007804254,0.004481442,0.003734833,0.0006413898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008638255,"about_ca_system_score_gemma":0.005285326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06630129,"about_ca_topic_score_gemma":0.06079214,"domain_scores_codex":[0.9899961,0.007961539,0.0003163349,0.0003848188,0.0007358657,0.0006054029],"domain_scores_gemma":[0.9944384,0.003914956,0.0006200154,0.0001450765,0.0005255709,0.0003560261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000030186,0.00001597763,0.002235176,0.00006339896,0.000004389501,0.0002359942,0.9730715,0.0000284762,0.000532126,0.01937747,0.0007386886,0.003666639],"study_design_scores_gemma":[0.000007053649,0.00002473504,0.00524663,0.0002290349,0.00001381191,0.0002698477,0.9523346,0.0001824325,0.0003818853,0.003618817,0.03765822,0.00003289501],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8601864,0.003961692,0.003987706,0.0262457,0.0003779251,0.00004347284,0.00007202701,0.00003063858,0.1050943],"genre_scores_gemma":[0.9948823,0.0008589202,0.0003931017,0.001094687,0.00002905085,0.00001536632,0.00002112622,0.0000221346,0.002683231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06630129,"threshold_uncertainty_score":0.1318308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0744948472967821,"score_gpt":0.3002649866453772,"score_spread":0.2257701393485951,"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."}}