{"id":"W2526119786","doi":"10.15173/glj.v7i3.2690","title":"Capital as Subject: Global Value Chains Analysis and Labour Relations in India’s Auto Industry","year":2016,"lang":"en","type":"article","venue":"Global Labour Journal","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subjectivity; Scholarship; Subject (documents); Mainstream; Value (mathematics); Capital (architecture); Economics; Automotive industry; Production (economics); Auto industry; Political economy; Sociology; Labour economics; Market economy; Economic geography; Economy; Political science; Economic growth; Law; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008211585,0.000207939,0.0001353575,0.003510362,0.002593407,0.005586151,0.0004512715,0.0006550489,0.005231754],"category_scores_gemma":[0.001624349,0.0001005353,0.0002848741,0.00648136,0.009278545,0.002812415,0.004154744,0.000688259,0.0002388592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006266887,"about_ca_system_score_gemma":0.003167495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03191745,"about_ca_topic_score_gemma":0.03973348,"domain_scores_codex":[0.9994618,0.0002350275,0.00001486894,0.00004135136,0.00007412113,0.0001728385],"domain_scores_gemma":[0.9987192,0.0008286524,0.0001860244,0.00007299527,0.00009874075,0.00009450074],"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":[0.0001065272,0.00006874978,0.09420887,0.000329316,0.00002875225,0.002115201,0.2457715,0.00313824,0.0005219816,0.6012314,0.002501691,0.04997781],"study_design_scores_gemma":[0.00001041705,0.00007065765,0.1528136,0.0007489584,0.0000745915,0.0006668226,0.6060317,0.004301415,0.000874505,0.1728733,0.06149246,0.00004152121],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8491486,0.001050224,0.001936631,0.002621838,0.0000240052,0.00003352321,0.00009152703,0.00001007456,0.1450837],"genre_scores_gemma":[0.9972088,0.000414213,0.000187225,0.00005493544,0.000008069479,0.000009948693,0.00002636676,0.000003860588,0.002086555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03191745,"threshold_uncertainty_score":0.06346333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008797693030693523,"score_gpt":0.2570072799140896,"score_spread":0.248209586883396,"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."}}