{"id":"W4230691203","doi":"10.32920/ryerson.14654595","title":"Black wealth mobility","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Youth Education and Societal Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Toronto Metropolitan University; Centre for Social Innovation","funders":"","keywords":"Space (punctuation); Racism; Storytelling; Sociology; Race (biology); Critical race theory; Narrative; Qualitative research; Social mobility; Social work; Public relations; Gender studies; Political science; Social science; Economic growth; Computer science; Economics","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":[0.003153853,0.0003597251,0.000469404,0.00117036,0.01455208,0.003351677,0.0006904033,0.001161493,0.01465832],"category_scores_gemma":[0.004121946,0.0002812521,0.0002119419,0.0008856159,0.00414999,0.00418712,0.005869814,0.001896826,0.00102326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003054134,"about_ca_system_score_gemma":0.003850816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01557869,"about_ca_topic_score_gemma":0.02770679,"domain_scores_codex":[0.9980599,0.001095983,0.00003975531,0.0001406143,0.0002597294,0.0004039968],"domain_scores_gemma":[0.9985322,0.0006027619,0.0001669801,0.0000836731,0.0001756961,0.0004386356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004316203,0.00006310031,0.003515619,0.0001496733,0.000004865491,0.0005057156,0.9462224,0.00005539731,0.0007383773,0.02395053,0.005092423,0.01965874],"study_design_scores_gemma":[0.000004311321,0.00004729462,0.002785626,0.0003270822,0.000006160376,0.0002353186,0.8612536,0.00006967423,0.0005360664,0.003340981,0.1313761,0.00001787949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8961393,0.001430902,0.00253846,0.008697842,0.0002461481,0.0002551091,0.0004736843,0.00004236688,0.09017631],"genre_scores_gemma":[0.9576725,0.001687593,0.001750879,0.001611918,0.00003923613,0.0003367427,0.0001369226,0.00006002283,0.03670412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01557869,"threshold_uncertainty_score":0.04903692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05067344216539213,"score_gpt":0.3817082977099623,"score_spread":0.3310348555445702,"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."}}