{"id":"W3128127987","doi":"10.1111/labr.12190","title":"Linguistic Proximity and the Labour Market Performance of Immigrant Men in Canada","year":2021,"lang":"en","type":"article","venue":"Labour","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institutes of Health","keywords":"Immigration; Wage; Census; Demographic economics; Labour economics; Work (physics); Assimilation (phonology); Economics; Political science; Sociology; Population; Demography; Linguistics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005600005,0.00004599434,0.000112459,0.0000125291,0.0001135727,0.00002078101,0.00009516017,0.00002434232,0.0002495757],"category_scores_gemma":[0.0004672496,0.00003406192,0.00001198442,0.00026654,0.00009341319,0.00003655495,0.00002333982,0.00008641103,5.165634e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000802084,"about_ca_system_score_gemma":0.001250726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9248256,"about_ca_topic_score_gemma":0.9975429,"domain_scores_codex":[0.9992462,0.0001903379,0.0001394394,0.00009007446,0.0001954536,0.0001384813],"domain_scores_gemma":[0.9995635,0.0001172007,0.00005298093,0.00009683596,0.0001301722,0.00003936998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001322768,0.00004501719,0.3907298,0.000149116,0.00002460948,0.00002871947,0.05702571,0.00007493127,0.00006418504,0.547834,0.0008635808,0.003028034],"study_design_scores_gemma":[0.001611005,0.0000135527,0.8194866,0.00007312311,0.00001524656,0.000002478849,0.02151659,0.01487165,0.0001878117,0.00228711,0.1397236,0.0002111526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823667,0.0002534112,0.000002657097,0.002239784,0.0000990758,0.0001010655,0.00002446039,0.000004750781,0.01490804],"genre_scores_gemma":[0.9900106,0.0007435853,0.00006385684,0.000317457,0.00003980505,0.000005268981,0.000001389069,0.000002872825,0.008815178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5455469,"threshold_uncertainty_score":0.2732679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005204600214410856,"score_gpt":0.2233486344543616,"score_spread":0.2181440342399508,"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."}}