{"id":"W1603253838","doi":"10.22230/cjc.2009v34n3a2200","title":"CCTV Surveillance and the Poverty of Media Discourse: A Content Analysis of Canadian Newspaper Coverage","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Crime, Deviance, and Social Control","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Carleton University","funders":"","keywords":"Newspaper; Content analysis; Political science; Media coverage; Poverty; Public opinion; Electronic surveillance; Conversation; Public relations; Advertising; News media; Sociology; Media studies; Business; Politics; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003207509,0.0003999062,0.0005334241,0.01526944,0.008255932,0.00627972,0.0009535782,0.0005765088,0.002148664],"category_scores_gemma":[0.02490973,0.0003459483,0.0002702333,0.02638633,0.003800504,0.001790204,0.002825327,0.0008256658,0.0001282348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04001749,"about_ca_system_score_gemma":0.04150534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9458447,"about_ca_topic_score_gemma":0.9471598,"domain_scores_codex":[0.9965289,0.0006756294,0.0002041553,0.0002948402,0.001718805,0.0005775648],"domain_scores_gemma":[0.9774295,0.01116955,0.002967057,0.0003566059,0.00713659,0.0009407061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001040836,0.00004977839,0.1254979,0.0005335981,0.00004106015,0.0005531898,0.8307664,0.00009907531,0.0008588661,0.002075144,0.003279305,0.0361416],"study_design_scores_gemma":[0.000008547124,0.00002681534,0.3969346,0.0005243876,0.00007098108,0.0001794435,0.567918,0.0004456612,0.0003907304,0.0002945385,0.03315515,0.00005111341],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802209,0.001666834,0.000319291,0.001536141,0.00003715602,0.0001146333,0.001969951,0.00001642644,0.01411866],"genre_scores_gemma":[0.9946997,0.001923149,0.0004964394,0.0002254726,0.00003623385,0.0001095472,0.0009414528,0.00002512616,0.001542814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05415535,"threshold_uncertainty_score":0.2903485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03709677270343777,"score_gpt":0.2957025614598196,"score_spread":0.2586057887563818,"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."}}