{"id":"W7035530818","doi":"","title":"Addressing political inequality: the role of formal education and information campaigns","year":2016,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Politics; Democracy; Formal education; Argument (complex analysis); Poverty; Education policy; Empirical evidence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003279282,0.0002925461,0.0006560092,0.002022499,0.00248765,0.004268539,0.0007917925,0.001068554,0.01009227],"category_scores_gemma":[0.02497298,0.0001575522,0.0005637726,0.002323872,0.002429351,0.00218831,0.00330544,0.002119649,0.000344142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003655158,"about_ca_system_score_gemma":0.00902517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1406614,"about_ca_topic_score_gemma":0.1304086,"domain_scores_codex":[0.9952428,0.001790005,0.00009399262,0.0002570737,0.00074349,0.00187265],"domain_scores_gemma":[0.9804329,0.010746,0.003937969,0.0006452701,0.001097801,0.003140168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003605601,0.001508915,0.7235563,0.0003752895,0.0003136343,0.0003710501,0.008321253,0.001415719,0.0002498187,0.0573056,0.006325937,0.199896],"study_design_scores_gemma":[0.0001472179,0.0004723429,0.9099654,0.00142602,0.0004320467,0.000157209,0.01442412,0.005369573,0.0004335339,0.03467191,0.03245914,0.00004143934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8801098,0.005962337,0.002692872,0.02898452,0.0002290612,0.0001968007,0.0006785282,0.00004682222,0.08109926],"genre_scores_gemma":[0.9959926,0.0008453906,0.0002839662,0.0005489699,0.0001087795,0.0000271461,0.0001171337,0.000006234137,0.002069895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1406614,"threshold_uncertainty_score":0.2796854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04062537646652063,"score_gpt":0.3409653009036185,"score_spread":0.3003399244370979,"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."}}