{"id":"W7132998595","doi":"","title":"Productive Cynics: How Satire Affects Millennial Political Participation in Canada","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Humor Studies and Applications","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Politics; Cynicism; Context (archaeology); Political efficacy; Political communication; Comedy; Appeal; Status quo; Citizen journalism","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":[0.002232658,0.0003221203,0.0005495664,0.001471532,0.0205207,0.005363688,0.001861227,0.0009720446,0.007284424],"category_scores_gemma":[0.007978765,0.0002768592,0.0005941132,0.003256142,0.004757604,0.001587361,0.004018205,0.002682293,0.0003921975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1078919,"about_ca_system_score_gemma":0.1358893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960645,"about_ca_topic_score_gemma":0.9982831,"domain_scores_codex":[0.9967951,0.0004599095,0.0000666596,0.000334501,0.001091743,0.001252055],"domain_scores_gemma":[0.9907684,0.001281432,0.0009812601,0.0002575424,0.0037077,0.00300373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004917066,0.0003812496,0.5943887,0.000176832,0.0001106897,0.0008313696,0.3227831,0.0004573307,0.001317714,0.01215228,0.02326937,0.04363976],"study_design_scores_gemma":[0.00003070581,0.00007331993,0.5824607,0.0002082018,0.00005922427,0.00009546393,0.3840761,0.0009413554,0.0003268328,0.0009559334,0.03063799,0.0001341432],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725294,0.0003917428,0.0001270126,0.004773019,0.00004415365,0.00004678344,0.000544182,0.00001582199,0.02152783],"genre_scores_gemma":[0.9942684,0.0002702472,0.0001075131,0.0005030436,0.000005617907,0.00001863178,0.0002255479,0.00001694784,0.004584081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1078919,"threshold_uncertainty_score":0.7828145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577424502058213,"score_gpt":0.3959681289285873,"score_spread":0.3701938839080052,"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."}}