{"id":"W3199040641","doi":"10.1007/s12134-021-00893-3","title":"Migration and Resilience in Urban Canada: Why Social Resilience, Why Now?","year":2021,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; York University","funders":"Biomedical Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Resilience (materials science); Psychological resilience; Political science; Social integration; Community resilience; Sociology; Diversity (politics); Settlement (finance); Development economics; Economic geography; Economic growth; Geography; Social psychology; Psychology; Business; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001701515,0.0002956991,0.0004354602,0.0007816251,0.0001636609,0.0005353115,0.0003187509,0.0002091336,0.0002276907],"category_scores_gemma":[0.002052991,0.0003118724,0.0001339012,0.0004910636,0.0001438878,0.001637546,0.00005373329,0.0005659524,0.000008442629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119188,"about_ca_system_score_gemma":0.0008529827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02681065,"about_ca_topic_score_gemma":0.4813266,"domain_scores_codex":[0.9969321,0.0002800347,0.001644982,0.0004802113,0.0004015595,0.0002611046],"domain_scores_gemma":[0.9969847,0.0004702554,0.0011466,0.0001511399,0.001090268,0.0001570645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003152172,0.0004487136,0.3568094,0.00004163272,0.0001291286,0.00009765384,0.008199567,0.001814649,0.01156294,0.5378008,0.07992927,0.002851039],"study_design_scores_gemma":[0.001938097,0.0002773662,0.5586053,0.0005479065,0.00002332687,0.0009966876,0.003976627,0.07083672,0.008612007,0.02805764,0.3254232,0.0007051929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.791063,0.001383316,0.1291101,0.06749909,0.0009217692,0.0002705265,0.0001021436,0.00002634848,0.009623779],"genre_scores_gemma":[0.9817628,0.004453819,0.004951842,0.005437216,0.0003952329,0.0000503402,0.0001968939,0.00002497373,0.002726848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5097432,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802221269196129,"score_gpt":0.2539116224060913,"score_spread":0.23588940971413,"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."}}