{"id":"W2473019991","doi":"10.1057/ap.2016.2","title":"Experiencing political diversity: The mobilizing effect among youth","year":2016,"lang":"en","type":"article","venue":"Acta Politica","topic":"Social Media and Politics","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"","keywords":"Diversity (politics); Politics; Viewpoints; Comparative politics; Collective action; Interpersonal communication; Face (sociological concept); Political communication; Sociology; Social psychology; Political science; Political economy; Psychology; Social science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002585714,0.0003512221,0.0003145117,0.001742718,0.00560781,0.007555071,0.0006556182,0.001443432,0.01035408],"category_scores_gemma":[0.006861763,0.0002794951,0.0003413252,0.001136015,0.003044206,0.003190063,0.006405972,0.001906274,0.0006006454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314791,"about_ca_system_score_gemma":0.001223651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00361816,"about_ca_topic_score_gemma":0.006617427,"domain_scores_codex":[0.997681,0.001238541,0.00004109437,0.0001603022,0.0002284806,0.0006504486],"domain_scores_gemma":[0.9956198,0.001697228,0.0007043004,0.0001970562,0.0002270509,0.00155455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000421563,0.0007185136,0.3044254,0.0002273841,0.0001238332,0.001497153,0.5575163,0.0001394348,0.002966618,0.03471698,0.009622581,0.0876243],"study_design_scores_gemma":[0.00007254776,0.0002888571,0.1431401,0.0002736027,0.0001299605,0.0006960724,0.7933004,0.0002658304,0.001088599,0.008367191,0.05232918,0.00004757453],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489639,0.000480626,0.0003125999,0.003712753,0.0001407695,0.00002312979,0.00006265781,0.0000192443,0.04628432],"genre_scores_gemma":[0.997615,0.0001851024,0.00009268372,0.0002578546,0.0000488921,0.00001280837,0.00001996421,0.000007336442,0.001760397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01035408,"threshold_uncertainty_score":0.03463781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181076616954846,"score_gpt":0.3062492129371476,"score_spread":0.2744384467675992,"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."}}