{"id":"W6991534607","doi":"","title":"Higher Education, Higher Stakes: Education’s Role in Shaping Redistribution Preferences and Vote Choice in Canada","year":2024,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Redistribution (election); Voting; Government (linguistics); Context (archaeology); Inequality","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":[0.001233537,0.0001554143,0.0004521042,0.0006092957,0.006925652,0.003426712,0.0008682366,0.0008705349,0.01342194],"category_scores_gemma":[0.00448247,0.0001376945,0.0003842426,0.001384945,0.002253029,0.000775609,0.001132426,0.001662749,0.0004679108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03850094,"about_ca_system_score_gemma":0.05826874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995405,"about_ca_topic_score_gemma":0.9986853,"domain_scores_codex":[0.9990158,0.000133182,0.00001564302,0.00009069514,0.000160396,0.0005842567],"domain_scores_gemma":[0.9970975,0.0007375583,0.0002352553,0.00006567491,0.0008116307,0.001052457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006230779,0.0003500878,0.8555471,0.00009630426,0.0001170674,0.0003582846,0.03467406,0.001882215,0.001219518,0.03984049,0.02548379,0.03980794],"study_design_scores_gemma":[0.00007118014,0.00005844106,0.8735425,0.0001414477,0.00008914054,0.00005874941,0.08023426,0.00154509,0.0005812272,0.004134504,0.0394804,0.00006303289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719418,0.0003055389,0.0001710091,0.006339225,0.00003457378,0.00002048014,0.0007085874,0.000006546147,0.02047225],"genre_scores_gemma":[0.9899734,0.000120667,0.00007350601,0.0003052684,0.000005010029,0.000004230934,0.0001140964,0.00000683953,0.009396958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03850094,"threshold_uncertainty_score":0.2793452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09639988347248213,"score_gpt":0.3941317472784408,"score_spread":0.2977318638059587,"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."}}