{"id":"W1994477000","doi":"10.15173/glj.v6i1.2465","title":"Bringing Class Back In","year":2015,"lang":"en","type":"article","venue":"Global Labour Journal","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Class (philosophy); Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001270224,0.00004566912,0.0000829476,0.00003870917,0.0001463651,0.0001857422,0.0001646058,0.00004996519,0.0003383172],"category_scores_gemma":[0.000220947,0.00004315822,0.00002911914,0.0003588779,0.00003779025,0.0001911289,0.00001469387,0.0001243535,0.0004677343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004461349,"about_ca_system_score_gemma":0.0007813421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005845195,"about_ca_topic_score_gemma":0.002274823,"domain_scores_codex":[0.9990218,0.0001962317,0.0001732074,0.00006289752,0.0002728587,0.0002729931],"domain_scores_gemma":[0.9994035,0.00001453446,0.00008096142,0.00005437885,0.0001339794,0.0003126409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008686044,0.00004279981,0.5172123,0.000004329971,0.000008816902,0.00002370119,0.02312548,0.00006063153,0.000004488502,0.3728659,0.08178715,0.004855746],"study_design_scores_gemma":[0.0002654262,0.000008947186,0.03453502,0.00002945391,0.00000116851,0.00005057548,0.01717039,0.000003840968,9.810943e-7,0.006865663,0.9410009,0.0000676493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6988344,0.0003400367,0.00002721081,0.006424591,0.001401844,0.00003948041,0.000004232134,0.0000106139,0.2929176],"genre_scores_gemma":[0.9937153,0.00003273746,0.0002535359,0.0005076048,0.001671472,5.988753e-7,2.135441e-7,0.000002588247,0.003815887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8592137,"threshold_uncertainty_score":0.8836225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0581377149230755,"score_gpt":0.3845190340456306,"score_spread":0.3263813191225551,"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."}}