{"id":"W2795271419","doi":"10.17645/si.v6i1.1306","title":"The Civil Society Dynamic of Including and Empowering Refugees in Canada’s Urban Centres","year":2018,"lang":"en","type":"article","venue":"Social Inclusion","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Refugee; Immigration; Civil society; Agency (philosophy); Sociology; Neighbourhood (mathematics); Context (archaeology); Politics; Settlement (finance); Corporate governance; Urban politics; Political science; Public administration; Economic growth; Social science; Law; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00224896,0.0004311438,0.0004336028,0.001715087,0.04775402,0.01206605,0.00202419,0.001642316,0.005221792],"category_scores_gemma":[0.00296175,0.000364015,0.000320675,0.002436714,0.03019301,0.00245546,0.01580986,0.002556025,0.0002346863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08787325,"about_ca_system_score_gemma":0.1246292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9740069,"about_ca_topic_score_gemma":0.994369,"domain_scores_codex":[0.9950923,0.001036291,0.00005321906,0.0002643233,0.0004913422,0.00306255],"domain_scores_gemma":[0.9973128,0.000299482,0.0001616862,0.00008831859,0.000318907,0.001818823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008642164,0.00008717882,0.0267746,0.0001071537,0.00002470648,0.002251697,0.8029124,0.0005908954,0.0008765138,0.1208648,0.00904411,0.0363796],"study_design_scores_gemma":[0.00001356009,0.00002081897,0.02406895,0.0001309551,0.00001651519,0.0001903328,0.8964129,0.0001801392,0.0001965519,0.005091929,0.07362946,0.00004782268],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8906664,0.00138234,0.0006365872,0.01487879,0.00009454348,0.00007776342,0.00008056896,0.00002580729,0.09215735],"genre_scores_gemma":[0.9940175,0.0003561915,0.0001839941,0.0004453613,0.000008257036,0.00001171084,0.00001737219,0.000007719647,0.00495198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08787325,"threshold_uncertainty_score":0.637568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113121036593886,"score_gpt":0.3090657429513111,"score_spread":0.2979345325853723,"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."}}