{"id":"W1852449343","doi":"10.47678/cjhe.v31i1.183382","title":"Family Income and Postsecondary Education In Canada","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Canadian Nautical Research Society","funders":"","keywords":"Affect (linguistics); Postsecondary education; Attendance; Economics; Demographic economics; Subsidy; Family income; Household income; Educational attainment; Higher education; Socioeconomic status; Convergence (economics); Psychology; Economic growth; Sociology; Demography; Population; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008016687,0.000213732,0.0003693651,0.002195673,0.00338098,0.001445597,0.001067515,0.0002726148,0.006310357],"category_scores_gemma":[0.003781982,0.0001756211,0.0004973192,0.005773197,0.0005073328,0.0004148439,0.0009105513,0.0007008417,0.0003450053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03623858,"about_ca_system_score_gemma":0.03531613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978022,"about_ca_topic_score_gemma":0.9985558,"domain_scores_codex":[0.9991037,0.00005359415,0.00003815116,0.00009489863,0.0002853253,0.0004242166],"domain_scores_gemma":[0.9960641,0.0003234624,0.0007438262,0.0001009854,0.0016509,0.001116842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007239999,0.00003903262,0.9797935,0.0000373792,0.00005175986,0.0001607111,0.0009884977,0.000505384,0.00005014547,0.001674619,0.005158008,0.01146862],"study_design_scores_gemma":[0.000006980726,0.00001034568,0.9928567,0.0000462743,0.00001687607,0.00004814882,0.001304978,0.0006739408,0.00005806888,0.0001461282,0.004817572,0.00001401102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96586,0.001840292,0.0002125797,0.001797569,0.00003626233,0.00003334435,0.01805946,0.00004160613,0.01211894],"genre_scores_gemma":[0.9900854,0.0007559037,0.0001785578,0.00008915131,0.000006827301,0.00001049556,0.004414841,0.000007938455,0.004450915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03623858,"threshold_uncertainty_score":0.2629305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006814290487357395,"score_gpt":0.2130757108157059,"score_spread":0.2062614203283485,"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."}}