{"id":"W3175502642","doi":"","title":"Language Premium Myth or Fact: Evidence from Migrant Workers of Guangdong, China","year":2019,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Disadvantaged; Fluency; Endogeneity; China; Migrant workers; Immigration; Demographic economics; Business; Labour economics; Perspective (graphical); Social insurance; Work (physics); Economics; Economic growth; Political science; Psychology; Market economy","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":[0.001249059,0.0002483421,0.0002224777,0.001324774,0.001106867,0.0007461708,0.0006387843,0.0004831651,0.002449231],"category_scores_gemma":[0.003774608,0.0002075442,0.0002626574,0.001899331,0.0009725949,0.0004375033,0.001023348,0.0004810485,0.0003308623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000494611,"about_ca_system_score_gemma":0.0007400679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08317844,"about_ca_topic_score_gemma":0.1019181,"domain_scores_codex":[0.9993733,0.000153476,0.00006502176,0.0001315594,0.00009609447,0.0001805459],"domain_scores_gemma":[0.995799,0.0007737987,0.002115628,0.0004284599,0.0003551055,0.0005280687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004985062,0.00002847218,0.995306,0.00001748869,0.00002856021,0.0001734872,0.002543928,0.00001566694,0.0001243129,0.00006685953,0.0001910042,0.001454256],"study_design_scores_gemma":[0.000004675887,0.00002454103,0.9965449,0.00001230283,0.0000181523,0.00004986186,0.002955004,0.00004824999,0.00003499646,0.00002830113,0.0002759034,0.000003222594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993339,0.00006020621,0.00001420706,0.00007899066,0.000002501816,0.000003390747,0.0002241844,4.322056e-7,0.0002820672],"genre_scores_gemma":[0.9992415,0.00009582201,0.00001906687,0.00004960397,0.000006690057,0.000006000727,0.0003106532,7.021474e-7,0.000270061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08317844,"threshold_uncertainty_score":0.1653886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769738065585112,"score_gpt":0.3461318223884093,"score_spread":0.3184344417325582,"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."}}