{"id":"W2617606271","doi":"10.15173/glj.v8i2.2896","title":"Technological Changes and Manufacturing Unions in South Africa: Failure to Formulate a Robust Response","year":2017,"lang":"en","type":"article","venue":"Global Labour Journal","topic":"Management Theory and Practice","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Negotiation; Division of labour; Technological change; Work (physics); Politics; Quality (philosophy); Business; Automotive industry; Wage; Trade union; Production (economics); Labour economics; Industrial organization; Economics; Market economy; Political science; Engineering; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00186221,0.0001648364,0.0001725424,0.0002234066,0.0009095159,0.001545433,0.0005135238,0.00009498523,0.0001900386],"category_scores_gemma":[0.0008570675,0.0001359847,0.00003449538,0.0001617772,0.00008053309,0.001231034,0.000623647,0.0003405727,0.000107367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004678508,"about_ca_system_score_gemma":0.000009711411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002686713,"about_ca_topic_score_gemma":0.0001872538,"domain_scores_codex":[0.9989712,0.00005008064,0.0001759418,0.0002200717,0.0001870205,0.0003956474],"domain_scores_gemma":[0.9992959,0.00004249233,0.0002810194,0.000292399,0.00004777894,0.00004041404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005753486,0.0002585777,0.0495855,0.0002275096,0.0001831917,0.002554148,0.0006546729,0.001386188,0.0004726445,0.8458413,0.005361332,0.08772145],"study_design_scores_gemma":[0.001320819,0.00004819617,0.1956644,0.0001654665,0.00006254957,0.0001029626,0.001724618,0.0001876228,0.00003597791,0.05034638,0.7499235,0.0004175855],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654397,0.00007026864,0.0007766425,0.02437927,0.0001910942,0.0001832843,0.000009912553,0.00006654019,0.008883295],"genre_scores_gemma":[0.997426,0.0000122816,0.0006860514,0.001040945,0.0003301241,0.000005761696,7.315136e-7,0.000008652964,0.0004894378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7954949,"threshold_uncertainty_score":0.999491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02833084594194249,"score_gpt":0.2483548304558852,"score_spread":0.2200239845139428,"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."}}