{"id":"W2781013560","doi":"10.25336/p6391d","title":"Stationary population, immigration, social cohesion, and national identity: What are the links and the policy implications? With special attention to Canada: A demographer’s point of view","year":2017,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Post-Communist Economic and Political Transition","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Population; Cohesion (chemistry); Identity (music); Sociology; Multiculturalism; National identity; Humanities; Ethnology; Political science; Demography; Art; Law; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001777223,0.0004723764,0.0006195189,0.00271243,0.0096744,0.008809164,0.001499962,0.002608647,0.003142227],"category_scores_gemma":[0.00322039,0.0001969654,0.0004148576,0.004179129,0.0189162,0.004416963,0.003125007,0.003626134,0.0001468999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06828003,"about_ca_system_score_gemma":0.08017391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9753661,"about_ca_topic_score_gemma":0.9787132,"domain_scores_codex":[0.9980172,0.0004406059,0.00003783099,0.0001694792,0.0005290023,0.0008059901],"domain_scores_gemma":[0.997781,0.000654346,0.0001888294,0.00005034719,0.0007191232,0.000606364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002411683,0.00004398311,0.01897603,0.000229469,0.00003479311,0.0002191311,0.01477317,0.001150624,0.00008345779,0.9160577,0.01514343,0.03326404],"study_design_scores_gemma":[0.00002972346,0.00005962234,0.1099568,0.002553335,0.0001176932,0.0001898974,0.1200267,0.005196694,0.0003965952,0.4641086,0.2971703,0.0001939704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1148436,0.06474543,0.003805846,0.6055651,0.0009168247,0.00006642216,0.0008556649,0.00004319473,0.2091581],"genre_scores_gemma":[0.919641,0.05176573,0.001955543,0.01237981,0.0004945407,0.0000475885,0.0002032654,0.00002105286,0.01349142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06828003,"threshold_uncertainty_score":0.4954086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05056180109962852,"score_gpt":0.3538175085427357,"score_spread":0.3032557074431072,"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."}}