{"id":"W4245803365","doi":"10.24124/2016/1238","title":"Technological upgrading and decent work in the manufacturing sector: evidence from seven coastline provinces, China, 2002-2014","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"China; Work (physics); Wage; Manufacturing sector; Government (linguistics); Foreign direct investment; Regression analysis; Econometric model; Government sector; Business; Variables; Economics; Economic growth; Geography; Labour economics; Engineering; Econometrics; Private sector","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006629037,0.0002874142,0.0002293317,0.0017509,0.0007675275,0.0006404119,0.0004674477,0.0001877333,0.001187109],"category_scores_gemma":[0.001896594,0.0002292196,0.0005536856,0.003908698,0.0005023776,0.000417775,0.0006786042,0.0003323425,0.0002092473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00197178,"about_ca_system_score_gemma":0.002325438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5121223,"about_ca_topic_score_gemma":0.6820005,"domain_scores_codex":[0.9996327,0.00003863071,0.00004798796,0.0000743662,0.00009637265,0.0001098956],"domain_scores_gemma":[0.9967366,0.0003336136,0.001531865,0.0001969426,0.0007969915,0.0004039779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002949192,0.00001377568,0.9962158,0.0000210908,0.00003483744,0.00005417668,0.000598583,0.0001069626,0.0001033559,0.00004828225,0.0002434481,0.002530267],"study_design_scores_gemma":[0.000001488936,0.000008907768,0.9989364,0.000005750142,0.00001090368,0.000009609089,0.0006652075,0.00008659544,0.00003966149,0.000005130583,0.0002284996,0.00000186735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982679,0.0001977648,0.00003835364,0.00008416356,0.000002981314,0.000003666268,0.0009205735,0.000002957916,0.0004815531],"genre_scores_gemma":[0.9973597,0.0003123704,0.00007263914,0.0000213832,0.000004026614,0.000005298015,0.001546273,0.00000153901,0.0006767385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5121223,"threshold_uncertainty_score":0.9815019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937185770442864,"score_gpt":0.2588427788945377,"score_spread":0.2394709211901091,"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."}}