{"id":"W3128775195","doi":"10.14738/assrj.81.9560","title":"Understanding Syrian refugees’ experience in terms of settlement and participation in Canadian labour market: A mixed method approach","year":2021,"lang":"en","type":"article","venue":"Advances in Social Sciences Research Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Settlement (finance); Immigration; Government (linguistics); State (computer science); Process (computing); Political science; Economic growth; Business; Economics; Finance; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01015479,0.0009999165,0.001136229,0.007296044,0.01744945,0.006152327,0.002383544,0.001020309,0.003564917],"category_scores_gemma":[0.007193243,0.0007165116,0.0009315085,0.007255118,0.00516445,0.001909047,0.005789261,0.00158766,0.0002186991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05055694,"about_ca_system_score_gemma":0.0810632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9422208,"about_ca_topic_score_gemma":0.9760894,"domain_scores_codex":[0.9951177,0.001624872,0.000252239,0.0003717213,0.001024272,0.001609357],"domain_scores_gemma":[0.9960299,0.00128041,0.0003446084,0.0001683482,0.001607264,0.0005696405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009154053,0.0001370289,0.04114922,0.0004083299,0.00003339773,0.0005567105,0.9298362,0.0001083086,0.0008373809,0.001762099,0.001048166,0.02403158],"study_design_scores_gemma":[0.000009358618,0.00009430782,0.03419064,0.0002642001,0.00002281272,0.00008123053,0.95697,0.0001253579,0.0001906215,0.0002072262,0.007806435,0.00003772469],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877988,0.001623102,0.0009577539,0.0009634588,0.00004146057,0.001230887,0.0005717054,0.00001045652,0.006802362],"genre_scores_gemma":[0.9834366,0.003381266,0.003719822,0.0009225988,0.00002389122,0.002385024,0.0004812055,0.00002030632,0.005629271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05777919,"threshold_uncertainty_score":0.366818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1978173658114665,"score_gpt":0.5265489767654623,"score_spread":0.3287316109539958,"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."}}