{"id":"W4248363289","doi":"10.32920/ryerson.14647266","title":"Finding a New Job in a New Home: The Labour Market Experiences of Government Assisted Refugees in Canada","year":2021,"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","funders":"","keywords":"Refugee; Earnings; Government (linguistics); Immigration; Human capital; Market integration; Social capital; Labour economics; Economics; Political science; Economic growth; Finance","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":[0.001574571,0.0003734275,0.0007647346,0.001867603,0.0176775,0.005867639,0.002010775,0.001059246,0.003420395],"category_scores_gemma":[0.003437926,0.0003866619,0.000367421,0.004004517,0.006182261,0.001936411,0.005688819,0.002602131,0.0002505589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04022465,"about_ca_system_score_gemma":0.06810317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9865209,"about_ca_topic_score_gemma":0.9956274,"domain_scores_codex":[0.9976554,0.0002877315,0.0000666651,0.0001434609,0.0004678911,0.001378787],"domain_scores_gemma":[0.9973505,0.0002534935,0.0003422876,0.00004864588,0.0007135143,0.001291586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001468917,0.0001382868,0.1541057,0.0001901917,0.00003393923,0.001644029,0.8166391,0.0001385802,0.000474374,0.002466255,0.004307532,0.01971527],"study_design_scores_gemma":[0.000003550537,0.00002906747,0.07937207,0.0001338982,0.000006161961,0.0001171313,0.9136738,0.00005551316,0.00003967809,0.00009575381,0.006439308,0.00003420337],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949662,0.0007635952,0.00002377516,0.001228664,0.000023733,0.00002054666,0.0001525842,0.000001889996,0.00281897],"genre_scores_gemma":[0.9967782,0.0009928148,0.00004122491,0.0002884088,0.000004831285,0.00001076524,0.00009721104,0.000003580216,0.001782971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04022465,"threshold_uncertainty_score":0.2918516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706394924967002,"score_gpt":0.2822004676797346,"score_spread":0.2651365184300645,"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."}}