{"id":"W4388043867","doi":"10.5539/ass.v19n6p63","title":"A Comparison of Chinese Media Reporting Frameworks on the Beijing Winter Olympics and Summer Olympics: A Case Study of People's Daily Headlines","year":2023,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beijing; Framing (construction); Thematic analysis; Perspective (graphical); Content analysis; Logical analysis; Political science; Mathematical statistics; Sociology; Advertising; Geography; China; Statistics; Social science; Computer science; Mathematics; Business; Qualitative research; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003719542,0.0001124179,0.0003446126,0.00010219,0.002050521,0.00007530442,0.000528368,0.00009821152,0.00001305847],"category_scores_gemma":[0.005401371,0.00007963739,0.00005917754,0.002133728,0.001228048,0.0001456815,0.0003409219,0.0002944735,0.000002839426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005084294,"about_ca_system_score_gemma":0.0001562099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003052079,"about_ca_topic_score_gemma":0.02531206,"domain_scores_codex":[0.997657,0.0002703293,0.0006268199,0.0002653863,0.0008523566,0.0003281233],"domain_scores_gemma":[0.9975976,0.0008859227,0.0008538482,0.0003324846,0.0002469833,0.00008312762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006370065,0.0001123739,0.3601916,0.000007276972,0.0000126293,0.000006970587,0.6154835,0.000001062357,0.00009309733,0.001749027,0.000144703,0.02219143],"study_design_scores_gemma":[0.0001370632,0.00006238447,0.2951334,0.00003596531,0.00001736189,0.000003016762,0.7036167,0.00007604204,0.000009463152,0.000562155,0.0002499694,0.0000964127],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853849,0.00006745975,0.00001866293,0.005379442,0.0002916256,0.0003195348,0.00000264576,0.00003430326,0.008501426],"genre_scores_gemma":[0.9995294,0.00004045051,0.00007379746,0.00008381959,0.0002070274,0.00002439726,0.000001138308,0.000006724581,0.00003324536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08813329,"threshold_uncertainty_score":0.9992487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087065908942731,"score_gpt":0.4384264284268206,"score_spread":0.3297198375325475,"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."}}