{"id":"W2990613104","doi":"10.1080/01442872.2019.1694657","title":"Introduction: the case for inclusive voting practices","year":2019,"lang":"en","type":"article","venue":"Policy Studies","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Normative; Redress; Voting; Inequality; Political science; Turnout; Agency (philosophy); State (computer science); Politics; Set (abstract data type); Public economics; Political process; Public administration; Positive economics; Political economy; Economics; Sociology; Law; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.001027065,0.0001115072,0.0002052804,0.00005668351,0.003708086,0.00005661914,0.0001593857,0.00005149165,0.000009047814],"category_scores_gemma":[0.008903322,0.00006657161,0.00009299893,0.0003739971,0.0006105351,0.0002249874,0.0001946621,0.0001110725,0.00005299213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001528146,"about_ca_system_score_gemma":0.0001448107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01254628,"about_ca_topic_score_gemma":0.01359756,"domain_scores_codex":[0.9989238,0.0001601051,0.0001688791,0.0001949799,0.0001638681,0.0003883296],"domain_scores_gemma":[0.9978642,0.001365684,0.0003219482,0.0001266965,0.0002847758,0.00003673629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002247116,0.00002401595,0.0008099712,0.00006350291,0.0004595589,0.000007655478,0.2724068,0.00000813151,0.000009387289,0.6790799,0.04119056,0.005917946],"study_design_scores_gemma":[0.0002364637,0.00005681708,0.0002441386,0.000009885031,0.00006584065,0.00002511549,0.4737868,0.000008691169,0.00003159773,0.03855404,0.4868199,0.0001606857],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1404531,0.002581473,0.000006521871,0.8088976,0.002151893,0.001176625,0.00001503203,0.0001264342,0.04459132],"genre_scores_gemma":[0.958297,0.001248625,0.00007528853,0.001802098,0.02549986,0.0001321676,5.715682e-7,0.00001094945,0.01293343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8178439,"threshold_uncertainty_score":0.9994451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08512956993299918,"score_gpt":0.4757645729636547,"score_spread":0.3906350030306555,"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."}}