{"id":"W4242851009","doi":"10.32920/ryerson.14649420.v1","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; Diversity (politics); Deliberative democracy; 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":[0.02759469,0.0005265935,0.0005049444,0.004076087,0.04260376,0.02254969,0.002672242,0.002621265,0.003973757],"category_scores_gemma":[0.04056514,0.0005816774,0.0003903645,0.004668928,0.04239221,0.008719351,0.01136416,0.003078877,0.0002141063],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.145887,"about_ca_system_score_gemma":0.1874714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.949504,"about_ca_topic_score_gemma":0.9580286,"domain_scores_codex":[0.9712742,0.01323747,0.0006043424,0.002224485,0.006757356,0.005902142],"domain_scores_gemma":[0.9721668,0.01798397,0.001654285,0.00121225,0.004325923,0.002656851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006782453,0.00002732387,0.006952061,0.0001461361,0.00001979671,0.0006696129,0.5168473,0.001338736,0.0005151639,0.4410446,0.004372942,0.0279985],"study_design_scores_gemma":[0.00003577346,0.00002682712,0.009149997,0.0004853969,0.00004004261,0.0001346181,0.6894439,0.002259989,0.0008207157,0.1103369,0.1871442,0.0001216771],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5225725,0.002964579,0.02035948,0.05398726,0.0002429722,0.0004239723,0.0001850553,0.00009872689,0.3991655],"genre_scores_gemma":[0.9898343,0.0004503268,0.002170441,0.001050355,0.00001660018,0.00004932855,0.00002825696,0.00002273171,0.006377598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.854113,"threshold_uncertainty_score":0.9906501,"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."}}