{"id":"W4414765700","doi":"10.5430/wjel.v16n2p72","title":"Discursive Strategies in Imran Khan’s Address to the United Nations General Assembly: Ideological Square Model Perspective","year":2025,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ideology; Perspective (graphical); Session (web analytics); Discourse analysis; Square (algebra); The Internet","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004070094,0.0001877883,0.0003528338,0.002314452,0.0003061416,0.0003245576,0.0004718972,0.00003080363,0.0003624498],"category_scores_gemma":[0.001018685,0.0001141062,0.0002138904,0.001050257,0.000213883,0.0003625863,0.0001173459,0.0004451517,0.000003760156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431719,"about_ca_system_score_gemma":0.0001084988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009067353,"about_ca_topic_score_gemma":0.1147934,"domain_scores_codex":[0.9986563,0.0001591149,0.0004330522,0.0001764506,0.0003097573,0.000265304],"domain_scores_gemma":[0.9982113,0.000229018,0.0001768312,0.0002185491,0.001109436,0.00005485936],"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":[0.00003464687,0.00009839049,0.0001159864,0.000007534255,0.0002094624,0.00005750496,0.3415923,0.01788166,0.00001683505,0.6300846,0.009810451,0.00009060428],"study_design_scores_gemma":[0.0004970224,0.0000604259,0.0004834498,0.0002006862,0.000193179,0.000001265319,0.9737275,0.0007348619,0.00004277785,0.003645016,0.02022454,0.0001893159],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4819484,0.003390185,0.0003516386,0.005735982,0.001060563,0.0003037614,0.00008241586,0.00004492688,0.5070822],"genre_scores_gemma":[0.98751,0.00004384516,0.0001896316,0.000646245,0.001231544,0.00002016566,0.000008903753,0.00001232679,0.01033734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6321352,"threshold_uncertainty_score":0.9013593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184199287756779,"score_gpt":0.3133603261870646,"score_spread":0.2915183333094968,"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."}}