{"id":"W567384348","doi":"","title":"Migration and the natives","year":2002,"lang":"en","type":"book","venue":"E. Elgar eBooks","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Refugee; Human migration; Unemployment; Transferability; Emigration; Internal migration; Brain drain; Demographic economics; Political science; Economics; Economic history; Sociology; Population; Demography; Economic growth; Law; Human capital","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.000864787,0.0003946499,0.000330262,0.000803164,0.003215102,0.003357871,0.0003524314,0.001351298,0.01334792],"category_scores_gemma":[0.001916762,0.0001393477,0.0002371281,0.0008000058,0.003341184,0.002876876,0.002569823,0.001537668,0.001114922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000985581,"about_ca_system_score_gemma":0.001656191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01205873,"about_ca_topic_score_gemma":0.02141283,"domain_scores_codex":[0.9994562,0.0002405336,0.00001534602,0.00008993865,0.0000745838,0.0001233862],"domain_scores_gemma":[0.9995945,0.0001315759,0.00005524703,0.00003743588,0.00005450334,0.000126733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007888671,0.0001379322,0.01233345,0.000470016,0.00002841913,0.0007850116,0.04846575,0.0001708778,0.000206596,0.3892349,0.3245346,0.2235536],"study_design_scores_gemma":[0.000009937856,0.00006436799,0.0113046,0.0006694049,0.000009609694,0.0006567169,0.02421322,0.00007670389,0.0000656115,0.04141244,0.9214999,0.00001749045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0694293,0.3574298,0.0005540684,0.1759081,0.009278828,0.00003222012,0.0002659958,0.00004621578,0.3870555],"genre_scores_gemma":[0.4804178,0.1430915,0.0006397017,0.0187074,0.006649528,0.00005661957,0.0001977982,0.00004881619,0.3501908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01334792,"threshold_uncertainty_score":0.04465324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589842514439128,"score_gpt":0.2571300184521045,"score_spread":0.2412315933077132,"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."}}