{"id":"W1586110149","doi":"10.29173/cjs9733","title":"Comparing Climate Change Coverage in Canadian English and French-Language Print Media: Environmental Values, Media Cultures, and the Narration of Global Warming","year":2012,"lang":"en","type":"article","venue":"The Canadian Journal of Sociology","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Journalism; Narrative; Public sphere; Divergence (linguistics); Sociology; Climate change; Politics; Media studies; Promotion (chess); Convergence (economics); Social science; Global warming; Political science; Linguistics; Law; Economic growth; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.002049539,0.0003875485,0.0002896236,0.009725141,0.00519087,0.006582409,0.0006570187,0.0005339551,0.004811951],"category_scores_gemma":[0.0177423,0.0001855092,0.0002693299,0.00992519,0.002761004,0.001790014,0.002298828,0.0006061707,0.0002424695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01883311,"about_ca_system_score_gemma":0.01536307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9195725,"about_ca_topic_score_gemma":0.9491015,"domain_scores_codex":[0.9977427,0.00034386,0.000112252,0.0001955828,0.001147717,0.000457821],"domain_scores_gemma":[0.9815715,0.007440757,0.002577608,0.0003159221,0.00702709,0.001067219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004190102,0.0001067345,0.4064219,0.0009331085,0.0001812098,0.001123452,0.5029545,0.000242351,0.003550041,0.003266633,0.007595015,0.07320611],"study_design_scores_gemma":[0.00001267628,0.00004561545,0.6896833,0.0003902306,0.0001334677,0.0002916104,0.2715561,0.0002918124,0.001307112,0.0002576694,0.03595256,0.00007780256],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591376,0.002242346,0.0001878179,0.001905793,0.0000601777,0.00002845927,0.001558419,0.00002148517,0.03485791],"genre_scores_gemma":[0.9957271,0.001349355,0.0001379935,0.0002469668,0.00004453582,0.00001511433,0.0005333289,0.00001910492,0.001926443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08042747,"threshold_uncertainty_score":0.1618022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1429147685228052,"score_gpt":0.3500867275197134,"score_spread":0.2071719589969082,"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."}}