{"id":"W4250019753","doi":"10.32920/ryerson.14645655","title":"Managing the Mosaic: diversity of voices and deliberative policy making in English Canadian media","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Viewpoints; Deliberative democracy; Diversity (politics); Political science; Public relations; Publicity; Commission; Deliberation; Stakeholder; Headline; Sociology; Public administration; Democracy; Law; Politics; Advertising; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.02626223,0.0005118682,0.0004875435,0.004084022,0.04115398,0.022481,0.002548322,0.002554393,0.003830789],"category_scores_gemma":[0.03970673,0.0005535803,0.0003722967,0.004656584,0.04145261,0.008447768,0.01086984,0.002830292,0.0002055459],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1410517,"about_ca_system_score_gemma":0.1856952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9484233,"about_ca_topic_score_gemma":0.9568445,"domain_scores_codex":[0.9719037,0.01314158,0.0006028017,0.002133912,0.006529584,0.005688289],"domain_scores_gemma":[0.974128,0.01683835,0.001610505,0.001085744,0.00395343,0.002383886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006846162,0.00002679477,0.007179645,0.000150025,0.00001971476,0.0006541204,0.496691,0.001427616,0.0005145514,0.4589588,0.004313868,0.02999531],"study_design_scores_gemma":[0.00003542893,0.00002676326,0.009418369,0.0004931829,0.00004052239,0.0001321817,0.6899149,0.002261129,0.0008299805,0.1132391,0.1834877,0.0001206528],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5201236,0.002999638,0.02002885,0.05318555,0.0002342261,0.0004219094,0.0001861836,0.00009934539,0.4027207],"genre_scores_gemma":[0.9901407,0.0004511485,0.002151884,0.0009985218,0.00001609358,0.0000478243,0.00002673908,0.00002105563,0.006146047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1410517,"threshold_uncertainty_score":0.9962583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03839552994251741,"score_gpt":0.3106181258435431,"score_spread":0.2722225959010257,"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."}}