{"id":"W2760886349","doi":"10.1177/0002764217734275","title":"The Economic World Obverse: Freedom Through Markets After Arts Education","year":2017,"lang":"en","type":"article","venue":"American Behavioral Scientist","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Vetenskapsrådet; Uppsala Universitet; University of Toronto","keywords":"The arts; Remuneration; Arts in education; Visual arts education; Sociology; Object (grammar); Visual arts; Social science; Political science; Art; Law","routes":{"ca_aff":true,"ca_fund":true,"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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0003610521,0.0001185237,0.0001230425,0.00002589207,0.004220718,0.001496207,0.0007090719,0.00002947516,0.001166758],"category_scores_gemma":[0.0000334244,0.00008799858,0.00007499987,0.0001437412,0.003128993,0.0005687258,0.0001588374,0.0001163552,0.0002404394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005674233,"about_ca_system_score_gemma":0.0005821909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0897394,"about_ca_topic_score_gemma":0.188129,"domain_scores_codex":[0.9987433,0.00005476912,0.0001778597,0.0002988745,0.0002919475,0.0004332704],"domain_scores_gemma":[0.9990153,0.00002713433,0.0002728892,0.0004659025,0.00006577745,0.0001530446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002088677,0.00005480872,0.08044837,5.603762e-7,0.000006442717,0.000005693623,0.001521313,3.830222e-7,0.00001075058,0.00405586,0.6448355,0.2690395],"study_design_scores_gemma":[0.00005093478,0.0000106843,0.2197772,0.00000848136,0.0000113789,7.050567e-7,0.003369032,0.000001051124,0.00001100128,0.0001197208,0.7765133,0.0001265271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8726007,0.0001211682,0.000004562524,0.01750639,0.005775191,0.0003803499,0.0000234878,0.00005253087,0.1035356],"genre_scores_gemma":[0.8091398,0.00005244607,0.0003102282,0.0001466785,0.0003619895,0.00006145106,0.000005491717,0.000007131775,0.1899148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.268913,"threshold_uncertainty_score":0.9997463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04448075498417597,"score_gpt":0.3653936393858221,"score_spread":0.3209128844016461,"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."}}