{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005766263,0.0002289404,0.0003324705,0.001556441,0.003879162,0.001307755,0.0006866821,0.0003933274,0.004344658],"category_scores_gemma":[0.00220336,0.0001463685,0.0003050289,0.002727793,0.0008476417,0.0003048175,0.001103735,0.0005936321,0.0003533156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01040457,"about_ca_system_score_gemma":0.01466672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.984714,"about_ca_topic_score_gemma":0.9923462,"domain_scores_codex":[0.999479,0.00006036703,0.00002618774,0.00006858712,0.0001281214,0.0002378356],"domain_scores_gemma":[0.9984605,0.0001152956,0.0002793535,0.00003590819,0.0004734173,0.0006356009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001055256,0.00006572412,0.9865514,0.00002834226,0.00003472185,0.0002168438,0.005204767,0.0001950488,0.0002205461,0.0003208851,0.0008368412,0.006219348],"study_design_scores_gemma":[0.000004703144,0.00002647456,0.9899564,0.00002718734,0.00000875057,0.00003602992,0.0084821,0.0002322966,0.00004365253,0.00004647731,0.001124502,0.00001146723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976239,0.0002295354,0.00001994966,0.0001884523,0.000007008601,0.000009990798,0.0004503137,0.000002079767,0.001468904],"genre_scores_gemma":[0.9985926,0.0001425681,0.00003132516,0.00003479878,0.000002838689,0.000004151004,0.0002603304,0.000001345259,0.0009300876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01528603,"threshold_uncertainty_score":0.07549083,"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."}}