{"id":"W2606687708","doi":"10.14507/epaa.25.2716","title":"Market “choices” or structured pathways? How specialized arts education contributes to the reproduction of inequality","year":2017,"lang":"en","type":"article","venue":"Education Policy Analysis Archives","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Institute for Christian Studies","funders":"Office of International Science and Engineering","keywords":"The arts; Population; Cultural capital; Inequality; Sociology; Reputation; Public relations; Psychology; Mathematics education; Political science; Social science; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002711219,0.0002682098,0.0004214136,0.00169563,0.002340273,0.006887358,0.001326108,0.001702003,0.03517857],"category_scores_gemma":[0.01319307,0.0003677436,0.0006008527,0.001825376,0.01018187,0.008876673,0.005677828,0.001241375,0.001241862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002370595,"about_ca_system_score_gemma":0.002349402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007994731,"about_ca_topic_score_gemma":0.007492571,"domain_scores_codex":[0.9976735,0.001092079,0.00004447728,0.0003153862,0.0002886082,0.0005859375],"domain_scores_gemma":[0.9939076,0.003113767,0.001135299,0.0004764515,0.0002697266,0.001097049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001073739,0.0001708206,0.04354133,0.00009722156,0.00006431623,0.0006331382,0.008517301,0.001446163,0.0002724551,0.9066352,0.004168054,0.03434653],"study_design_scores_gemma":[0.0001326792,0.0001211963,0.04502442,0.0003296545,0.0000640352,0.000379689,0.01900637,0.006117976,0.0002788838,0.8807765,0.04771183,0.00005679381],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6100688,0.002289417,0.0191708,0.03931331,0.0002100463,0.000165541,0.0005483004,0.0001474867,0.3280863],"genre_scores_gemma":[0.9938544,0.0004195006,0.0007523557,0.0006281651,0.00006901383,0.0000292116,0.00004061217,0.00003065249,0.004176114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03517857,"threshold_uncertainty_score":0.1176841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06279901654592691,"score_gpt":0.3865115673266716,"score_spread":0.3237125507807447,"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."}}