{"id":"W4413746140","doi":"10.5539/ells.v15n3p31","title":"A Multimodal Discourse Analysis of China’s National Image Publicity Film PRC from the Perspective of Visual Grammar","year":2025,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Publicity; Perspective (graphical); China; Grammar; Political science; Linguistics; Computer science; Artificial intelligence; Philosophy; Law","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":[0.002311455,0.0004167147,0.0002583855,0.002777496,0.003771719,0.003331489,0.0005157745,0.0005519886,0.003228762],"category_scores_gemma":[0.004317438,0.000174022,0.0002763984,0.00272974,0.005883316,0.004479938,0.002497123,0.001135096,0.000133256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006273629,"about_ca_system_score_gemma":0.002553791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01903597,"about_ca_topic_score_gemma":0.02161056,"domain_scores_codex":[0.9986203,0.0008492683,0.00003577675,0.0001449253,0.0002316021,0.000118029],"domain_scores_gemma":[0.9982398,0.001207656,0.0001149387,0.00013309,0.0002216346,0.00008290753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005860122,0.00002046169,0.002625922,0.0002307582,0.000009996635,0.0009072016,0.9045349,0.0002585898,0.005926393,0.06189094,0.0017974,0.02173887],"study_design_scores_gemma":[0.0000147958,0.00005079379,0.01660198,0.0002774309,0.000029588,0.0004274732,0.8674431,0.002701054,0.004255496,0.01019014,0.09796707,0.00004102065],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.881856,0.0008644063,0.01171247,0.004593341,0.00009742291,0.0002106536,0.0005094361,0.0001014704,0.1000547],"genre_scores_gemma":[0.9904202,0.0003416794,0.003139196,0.00009776031,0.0000336373,0.0001138408,0.0001443398,0.00004094836,0.005668376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01903597,"threshold_uncertainty_score":0.04551858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010612313559424,"score_gpt":0.3171078688045464,"score_spread":0.3064955552451224,"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."}}