{"id":"W4388495709","doi":"10.5430/wjel.v14n1p65","title":"Thematic Construction in the News Coverage of the COVID-19 Pandemic: The Pattern and Its Implication in Teaching English News-Item Text","year":2023,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Linguistics and Language Analysis","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi; Universitas Sumatera Utara","keywords":"Newspaper; Theme (computing); Thematic structure; CLARITY; Thematic analysis; Coronavirus disease 2019 (COVID-19); Pandemic; Thematic map; Content analysis; Computer science; Interpersonal communication; Sociology; Linguistics; Qualitative research; Media studies; World Wide Web; Geography; Social science; Medicine; Cartography; Chemistry","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":[0.006093584,0.0002566991,0.000258453,0.002583989,0.002610269,0.003663084,0.0007563099,0.0005475575,0.00223372],"category_scores_gemma":[0.01985504,0.0002481513,0.0002544107,0.003022576,0.004336805,0.003418928,0.002243555,0.001089221,0.0002899847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002726498,"about_ca_system_score_gemma":0.002312878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002650938,"about_ca_topic_score_gemma":0.004033407,"domain_scores_codex":[0.9936653,0.004420493,0.0002851415,0.0003376194,0.0009829004,0.0003084815],"domain_scores_gemma":[0.9800209,0.01478328,0.002077322,0.0006093691,0.00190857,0.0006005159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007880296,0.00006042816,0.0239501,0.0005770368,0.00001515707,0.001221153,0.9157483,0.0001122069,0.004104789,0.01212718,0.001677247,0.04032762],"study_design_scores_gemma":[0.00001189153,0.00007163255,0.04307556,0.0005531997,0.00002620843,0.0008502222,0.9004244,0.0009633453,0.002272175,0.006949944,0.04476541,0.00003614333],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363307,0.0007615802,0.01806365,0.003989569,0.0002474931,0.0003418534,0.0002408438,0.00006962539,0.03995477],"genre_scores_gemma":[0.9885482,0.0004261916,0.006122585,0.0002445324,0.0000556584,0.0001732681,0.0001324073,0.00006382338,0.004233297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006093584,"threshold_uncertainty_score":0.03222632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268432175986921,"score_gpt":0.2753517797893644,"score_spread":0.2485085621906723,"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."}}