{"id":"W2769533514","doi":"10.3968/9916","title":"Pursuit of Power: A Critical Discourse Analysis of the CNN and China Daily South China Sea Reports","year":2017,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Globe; Ideology; Critical discourse analysis; Value (mathematics); Power (physics); Critical reading; Reading (process); Perspective (graphical); Order (exchange); Sociology; Selection (genetic algorithm); News values; Media studies; Linguistics; History; News media; Psychology; Political science; Computer science; Politics; Visual arts; Law; Art","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":[0.009088059,0.0008901554,0.0005248922,0.009972463,0.009060062,0.007312996,0.001063137,0.001399147,0.001560768],"category_scores_gemma":[0.02590436,0.000345293,0.0002807758,0.008286154,0.01404412,0.006020151,0.00350867,0.002036415,0.0001302338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009669495,"about_ca_system_score_gemma":0.00461521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01814418,"about_ca_topic_score_gemma":0.01995113,"domain_scores_codex":[0.993751,0.004308823,0.000283188,0.0003867391,0.0008826973,0.0003876785],"domain_scores_gemma":[0.9518067,0.04158745,0.001950078,0.000714839,0.003283175,0.0006577418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003774637,0.00002128683,0.001437149,0.00009434961,0.000004317455,0.0004331698,0.9877728,0.00001876329,0.0005515838,0.005005728,0.0004038226,0.004219306],"study_design_scores_gemma":[0.000006805619,0.00002052074,0.005393025,0.0001803359,0.00001044887,0.0001195198,0.980842,0.0002217032,0.000875774,0.001201582,0.01111503,0.00001331515],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724539,0.000955876,0.001959907,0.002493124,0.0001298792,0.0002260665,0.0001567063,0.00001597541,0.02160861],"genre_scores_gemma":[0.9951344,0.0005681273,0.001328026,0.0001909465,0.00007462443,0.0001483365,0.0001408816,0.00002924481,0.002385389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01814418,"threshold_uncertainty_score":0.07015747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02536679394625518,"score_gpt":0.3567192150930407,"score_spread":0.3313524211467855,"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."}}