{"id":"W7037579861","doi":"","title":"Entanglements: Volkswagen de MĂŠxico and Global Capitalism","year":2017,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; City University of New York; Wenner-Gren Foundation","keywords":"Capitalism; Relations of production; SWORD; Global South; Ethnography; Global city; Production (economics); Middle class; Informal sector","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001397016,0.0001734103,0.0003330579,0.00006511052,0.0004914631,0.0002789548,0.001689648,0.0001353431,0.01032431],"category_scores_gemma":[0.0003274521,0.0001904858,0.0001302156,0.00007098266,0.0001224042,0.000589787,0.0003820309,0.00007166103,0.0000890611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303894,"about_ca_system_score_gemma":0.0001191868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1249914,"about_ca_topic_score_gemma":0.2186981,"domain_scores_codex":[0.9978139,0.00009197383,0.0001727707,0.0006961958,0.0009694159,0.0002557404],"domain_scores_gemma":[0.9977856,0.00007915258,0.0005887857,0.001177392,0.0002123107,0.0001567614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001360617,0.00009059983,0.004929176,0.00006040496,0.0001717304,0.00007034146,0.01996683,0.000007581638,0.00006727895,0.002593627,0.1462729,0.8256335],"study_design_scores_gemma":[0.0006740334,0.00007578891,0.8125201,0.0001031591,0.0001635434,0.0000031373,0.108204,0.000654272,0.00001277399,0.00165621,0.07558713,0.0003458324],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5034902,0.001323517,0.0006891468,0.0004635311,0.001773937,0.0002494632,0.0002295363,0.00004675728,0.4917339],"genre_scores_gemma":[0.804374,0.0002136564,0.001507155,0.00002135515,0.00005439636,1.803416e-7,0.0002049854,0.000007402106,0.1936168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8252876,"threshold_uncertainty_score":0.9905804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0501355718481051,"score_gpt":0.3546872578151013,"score_spread":0.3045516859669962,"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."}}