{"id":"W103109021","doi":"","title":"Canadian Cities and Global Migration: Comparing Local Responses to Demographic Change","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Immigration; Recreation; Bureaucracy; Multiculturalism; Diversity (politics); Human settlement; Political science; Population; Ethnic group; Typology; Normative; Cultural diversity; Subsidy; Public relations; Politics; Public administration; Economic growth; Sociology; Geography; Law; Economics","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":[0.002188289,0.000461697,0.0003837444,0.003666427,0.007747927,0.003255492,0.001262686,0.0006143027,0.004543976],"category_scores_gemma":[0.005523374,0.0002168837,0.0005518665,0.009370026,0.003472687,0.001058011,0.003808138,0.0009105348,0.0003023196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04926665,"about_ca_system_score_gemma":0.02627588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9865588,"about_ca_topic_score_gemma":0.9939744,"domain_scores_codex":[0.9976327,0.0003540811,0.00006788849,0.0002109641,0.0005280446,0.001206298],"domain_scores_gemma":[0.9963205,0.000315164,0.0005171092,0.0001750918,0.001859338,0.0008127492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003105174,0.00006651004,0.8424497,0.0001629484,0.00006737457,0.0002300281,0.1167122,0.0003770227,0.0003707825,0.001900373,0.004734393,0.03261816],"study_design_scores_gemma":[0.000006102772,0.00004103419,0.8003914,0.00004646007,0.0000202498,0.00002619589,0.1903402,0.00009793889,0.00006191412,0.00008055395,0.008854203,0.00003372195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810593,0.0004929611,0.00007561476,0.0008553331,0.00004091637,0.00006532221,0.0009884298,0.00001283273,0.0164093],"genre_scores_gemma":[0.9963354,0.0003577612,0.0000770409,0.0001672246,0.00001011093,0.00003716803,0.0006113995,0.000007433294,0.002396502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04926665,"threshold_uncertainty_score":0.3574563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876726846230142,"score_gpt":0.2862623604833053,"score_spread":0.2674950920210039,"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."}}