{"id":"W7130828746","doi":"10.32782/tps2663-4880/2025.44.1.25","title":"LEXICAL PATTERNS AND EVALUATIVE FRAMING OF THE RUSSIA–UKRAINE WAR IN CANADIAN MEDIA DISCOURSE","year":2025,"lang":"","type":"article","venue":"Тrаnscarpathian Philological Studies","topic":"Discourse Analysis and Cultural Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Framing (construction); Narrative; Public discourse; Discourse analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002895149,0.000504013,0.0003459621,0.00905597,0.01126945,0.01483585,0.0009344024,0.001018267,0.006340279],"category_scores_gemma":[0.01515295,0.0003567961,0.0001995498,0.009621682,0.008278004,0.00351169,0.0026093,0.001791636,0.0003859022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04492456,"about_ca_system_score_gemma":0.02778105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9201711,"about_ca_topic_score_gemma":0.9271234,"domain_scores_codex":[0.9981651,0.0005443472,0.00008779956,0.0001816791,0.0005937947,0.000427342],"domain_scores_gemma":[0.9900984,0.004758792,0.0009842167,0.0002928977,0.003327886,0.000537717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002478447,0.00004543187,0.02005658,0.0002040097,0.00002625511,0.0004644713,0.8547398,0.0003614272,0.00409635,0.09146703,0.004130788,0.02415994],"study_design_scores_gemma":[0.00002052342,0.0000296102,0.09597088,0.0004444354,0.00007061032,0.0001353551,0.8071425,0.001098235,0.002209559,0.006253462,0.08651039,0.0001144992],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8832069,0.0006497479,0.0007016016,0.002644409,0.00006144211,0.00002975731,0.0004798856,0.00003551516,0.1121906],"genre_scores_gemma":[0.9960909,0.0002407951,0.0002358337,0.00006418195,0.00001216529,0.00000999903,0.0001149445,0.00003102233,0.003200178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07982892,"threshold_uncertainty_score":0.3259521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06511985557256464,"score_gpt":0.3987995698423927,"score_spread":0.333679714269828,"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."}}