{"id":"W1595315018","doi":"10.52324/001c.8527","title":"Measuring Internal Migration Among the Foreign-Born: Insights from Canadian Data","year":2001,"lang":"en","type":"article","venue":"Review of Regional Studies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Census; Internal migration; Redistribution (election); Population; Foreign born; Geography; Immigration; Demographic economics; Genealogy; Demography; Regional science; Economic geography; Econometrics; Political science; Economics; History; Sociology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004517942,0.00007648399,0.0001884757,0.00003081967,0.000395836,0.0000208088,0.000447886,0.0000270496,0.00005177789],"category_scores_gemma":[0.000469922,0.00004827533,0.00005222622,0.0002308024,0.0002710103,0.0001890018,0.00005813804,0.00007188175,0.000009132129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003283,"about_ca_system_score_gemma":0.0001724751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2293124,"about_ca_topic_score_gemma":0.9714165,"domain_scores_codex":[0.9989743,0.0001702901,0.0002259926,0.0001515188,0.0003557205,0.0001221668],"domain_scores_gemma":[0.999133,0.000153464,0.0001425443,0.0002557263,0.0002445452,0.00007073947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002331628,0.00008733856,0.1508305,0.001116846,0.001110098,0.00003375337,0.06056597,0.00002416321,0.00001670908,0.3201588,0.3981335,0.06789897],"study_design_scores_gemma":[0.00004755691,0.000005484907,0.01208326,0.002210841,0.0000482618,6.852386e-7,0.00582155,0.0001578087,8.866591e-7,0.001483088,0.978062,0.00007852904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1690985,0.7685003,0.0001502281,0.04015618,0.0003000459,0.0006615306,0.00006097289,0.0000321629,0.02104007],"genre_scores_gemma":[0.3944397,0.6034524,0.00007391057,0.00135199,0.00021614,0.00001026929,0.00005378306,0.000003855344,0.0003979018],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7421042,"threshold_uncertainty_score":0.7758197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1382955205346561,"score_gpt":0.3454479914937888,"score_spread":0.2071524709591327,"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."}}