{"id":"W3191895445","doi":"10.32920/ryerson.14651517.v1","title":"Somali immigrant women in the Canadian labour market : barriers and consequences","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":"Somali; Racism; Unemployment; Immigration; Poverty; Political science; Refugee; Sociology; Labour economics; Gender studies; Economics; Economic growth","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":[0.001468239,0.0003858796,0.0004664244,0.001700224,0.02649004,0.005210391,0.00178141,0.001305132,0.009185327],"category_scores_gemma":[0.003889465,0.0003060405,0.0003991109,0.00367123,0.004781449,0.001407747,0.006073831,0.002106364,0.0005295594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.051708,"about_ca_system_score_gemma":0.09655505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.98954,"about_ca_topic_score_gemma":0.9942556,"domain_scores_codex":[0.9976584,0.0001907964,0.00004420601,0.0001334896,0.0005282556,0.001444804],"domain_scores_gemma":[0.9970819,0.000204335,0.0003267653,0.0000580003,0.000927381,0.001401569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003168217,0.0003793834,0.478411,0.0002797113,0.00005737073,0.003709131,0.3761262,0.0002492249,0.0008405715,0.01722026,0.03296111,0.08944926],"study_design_scores_gemma":[0.00002527725,0.00005979306,0.3171427,0.0004087868,0.0000430702,0.0004683596,0.644476,0.000271482,0.0001706017,0.001194745,0.03566849,0.00007071826],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601234,0.001662635,0.00006674483,0.01119732,0.0000918131,0.00005690289,0.000453515,0.00001621918,0.02633149],"genre_scores_gemma":[0.9881105,0.002135558,0.0001185995,0.001301532,0.00001748135,0.00002928773,0.0002122088,0.00001516771,0.008059632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.051708,"threshold_uncertainty_score":0.3751695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155736803909062,"score_gpt":0.2646087674854296,"score_spread":0.2530513994463389,"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."}}