{"id":"W2535738532","doi":"10.1177/2378023116670660","title":"Conflicting Climate Change Frames in a Global Field of Media Discourse","year":2016,"lang":"en","type":"article","venue":"Socius Sociological Research for a Dynamic World","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Memorial University of Newfoundland; The King's University","funders":"Japan Society for the Promotion of Science; National Science Council; National Science Foundation; Vetenskapsrådet; Higher Education Authority; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Climate change; Field (mathematics); Scale (ratio); Global warming; Political science; Politics; Geography; Environmental resource management; Climatology; Environmental science; Mathematics; Ecology; Geology; Cartography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004316008,0.00009700288,0.0002430996,0.0001138608,0.0004922604,0.00002444727,0.0004553124,0.0002360426,0.0009172175],"category_scores_gemma":[0.004366451,0.00006716991,0.0001760611,0.0004870048,0.001475698,0.0001366033,0.0002103957,0.0003027279,0.00002857345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005088836,"about_ca_system_score_gemma":0.00008292602,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001013101,"about_ca_topic_score_gemma":0.03060173,"domain_scores_codex":[0.9973742,0.00089959,0.0002876766,0.0002505011,0.0004354873,0.0007524871],"domain_scores_gemma":[0.9934589,0.0058836,0.00008900961,0.0002215556,0.0002165795,0.0001303423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003277079,0.0003745073,0.1321946,0.00009371126,0.0000273931,0.000003796264,0.06895739,2.465257e-7,0.0005954257,0.5022761,0.001103589,0.2940456],"study_design_scores_gemma":[0.003428139,0.0007483269,0.2684967,0.001224782,0.00002848109,7.481868e-7,0.2126122,0.0006657652,0.00002139536,0.4680027,0.04397217,0.0007985965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8865139,0.0006829952,0.00022901,0.07254583,0.0002519817,0.001554707,0.0004318731,0.00015135,0.03763837],"genre_scores_gemma":[0.9924088,0.006220049,0.0003135886,0.0002332691,0.000170005,0.0003513826,0.00002355972,0.000007367974,0.0002720011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.293247,"threshold_uncertainty_score":0.9999961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6333355287826631,"score_gpt":0.6312899069964141,"score_spread":0.002045621786249008,"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."}}