{"id":"W1949709780","doi":"10.25071/1920-7336.26042","title":"Refugees, Inequality, and Human Development","year":2008,"lang":"en","type":"article","venue":"Refuge Canada s Journal on Refuge","topic":"International Development and Aid","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Refugee; Inequality; Human Development Index; Settlement (finance); Life expectancy; Displacement (psychology); Economic growth; Human development (humanity); Demographic economics; Political science; Development economics; Sociology; Economics; Psychology; Demography; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006380983,0.000128676,0.0002150732,0.001392129,0.0007952679,0.001208241,0.0001558694,0.0002675305,0.003035343],"category_scores_gemma":[0.002947411,0.00005860165,0.0001264535,0.001811953,0.001198552,0.000864355,0.001274677,0.0005869324,0.0001602115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007932381,"about_ca_system_score_gemma":0.0006585832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01913846,"about_ca_topic_score_gemma":0.02532569,"domain_scores_codex":[0.9994584,0.0002021583,0.00002122667,0.00003642813,0.00005908033,0.0002227962],"domain_scores_gemma":[0.9985356,0.0004247213,0.0004263915,0.00004150421,0.0001366641,0.0004350824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009436013,0.0001502362,0.9158774,0.00008486756,0.0001106883,0.0004234604,0.002294166,0.001241113,0.00009395694,0.04223144,0.002884181,0.03451419],"study_design_scores_gemma":[0.000008271104,0.00007712293,0.9641205,0.0001781043,0.00002010915,0.0002456353,0.005563213,0.0009529643,0.00006776206,0.01807015,0.01067873,0.00001747078],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465108,0.008916827,0.0004210541,0.008912207,0.00008342625,0.00001245945,0.0007273171,0.00001106763,0.03440488],"genre_scores_gemma":[0.9979028,0.001303163,0.00004078445,0.00009741449,0.00002806894,0.000003735159,0.00008982395,0.000001256677,0.0005329001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01913846,"threshold_uncertainty_score":0.03805411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238874508730524,"score_gpt":0.3092586742515379,"score_spread":0.2768699291642327,"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."}}