{"id":"W4200590661","doi":"10.5539/ijel.v12n1p86","title":"Thematic Progression in Economic Discourse: A Case Study of the English-Chinese Reports from The Economist","year":2021,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Thematic analysis; Context (archaeology); Thematic map; Meaning (existential); China; Sociology; Thematic structure; Psychology; Political science; Qualitative research; Social science; Geography","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":[0.007027597,0.0005826184,0.0004104199,0.004991552,0.01133288,0.004708813,0.001406096,0.001611507,0.001666779],"category_scores_gemma":[0.01379302,0.0003149789,0.00038098,0.008251313,0.007510108,0.003642614,0.003725549,0.001910979,0.0002188338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0097618,"about_ca_system_score_gemma":0.004838349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06108966,"about_ca_topic_score_gemma":0.08904409,"domain_scores_codex":[0.9961244,0.002256409,0.0002437164,0.0002562504,0.0007301443,0.0003890422],"domain_scores_gemma":[0.9878059,0.009306233,0.001131056,0.0003792429,0.0009436231,0.0004339642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000262274,0.00003753865,0.005817128,0.00009817354,0.000005293927,0.005563966,0.9779259,0.00005253949,0.0005156686,0.00339797,0.0007598269,0.005799732],"study_design_scores_gemma":[0.000006766282,0.00002817177,0.01403262,0.0001508274,0.00001631334,0.00120389,0.9557859,0.0003675857,0.0009214957,0.0007078295,0.02675506,0.00002344976],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987682,0.0005338593,0.0006335038,0.002032269,0.00003679388,0.000074711,0.0001153851,0.00001073478,0.00888088],"genre_scores_gemma":[0.9934193,0.001104101,0.001228839,0.000212955,0.00005125538,0.00007715013,0.0001482576,0.00002856578,0.003729604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06108966,"threshold_uncertainty_score":0.1214682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753882737598337,"score_gpt":0.3181079800687852,"score_spread":0.3005691526928018,"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."}}