{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275061,0.0004569987,0.0006922583,0.002466123,0.007221949,0.004354461,0.001780036,0.00152853,0.009230762],"category_scores_gemma":[0.006392432,0.0002464727,0.0007759232,0.008239678,0.004606206,0.002097618,0.004094771,0.002548706,0.0002866671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08323544,"about_ca_system_score_gemma":0.1813267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982413,"about_ca_topic_score_gemma":0.9989238,"domain_scores_codex":[0.9983258,0.0001357593,0.0000450801,0.0001438903,0.0002259523,0.001123448],"domain_scores_gemma":[0.9939784,0.0004686803,0.0005703951,0.0001677877,0.002414021,0.002400764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002845538,0.0002308652,0.7873695,0.0004213811,0.0003986681,0.0007548073,0.01943373,0.003057581,0.0001781125,0.05130798,0.05085712,0.08570566],"study_design_scores_gemma":[0.00004150295,0.00004646843,0.8453405,0.001338837,0.0003249471,0.0001877037,0.09228115,0.002554162,0.0001960473,0.01394757,0.04357098,0.0001701297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.828846,0.02062665,0.0005929059,0.1186005,0.0005354349,0.00006794053,0.003983937,0.00004832416,0.02669833],"genre_scores_gemma":[0.9897098,0.004893744,0.0002128953,0.001235224,0.00009575064,0.00001705915,0.0004646891,0.00001365927,0.003357212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08323544,"threshold_uncertainty_score":0.6039182,"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."}}