{"id":"W4310150518","doi":"10.32920/21633104","title":"“You Need to Prove Your Competence More Than Your Peers”: Challenges Faced by Professional Immigrant Females in the Canadian Labour Market","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Ottawa","funders":"","keywords":"Immigration; Workforce; Competence (human resources); Face (sociological concept); Public relations; Settlement (finance); Political science; Business; Economic growth; Sociology; Management; Economics; Social science","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":[0.007484895,0.000536971,0.0006024753,0.001063384,0.03514033,0.006601382,0.002384168,0.00211902,0.004360603],"category_scores_gemma":[0.009651465,0.0003702353,0.0004409399,0.001375347,0.009743963,0.002311447,0.005837652,0.003217518,0.0005840659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0240821,"about_ca_system_score_gemma":0.05919073,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8937432,"about_ca_topic_score_gemma":0.9515258,"domain_scores_codex":[0.9929289,0.001981806,0.000187743,0.0003765156,0.001675833,0.002849263],"domain_scores_gemma":[0.9934856,0.000862842,0.0005488214,0.0001223596,0.00192984,0.003050519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008509073,0.00009136462,0.07137641,0.0001682536,0.0000193035,0.003218924,0.8648375,0.00007180188,0.0009079211,0.004260491,0.0176554,0.03730754],"study_design_scores_gemma":[0.000002663108,0.00002609402,0.01054442,0.0001073416,0.000004789894,0.0003344571,0.9795079,0.00004440127,0.00004273549,0.0001768304,0.00918677,0.00002158189],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581653,0.001306154,0.0002489188,0.0238625,0.0003385509,0.00006866864,0.00006755692,0.00001318536,0.01592904],"genre_scores_gemma":[0.985025,0.001513756,0.0004293273,0.004724749,0.00004398163,0.00003845596,0.00005037755,0.00001874897,0.008155539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1062568,"threshold_uncertainty_score":0.2137652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04734561073266038,"score_gpt":0.3344072948482557,"score_spread":0.2870616841155954,"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."}}