{"id":"W2619450917","doi":"","title":"Immigration, Employment and Social Expenditures in Canadian Public Policy: Redistributive or Regulatory?","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Immigration; Context (archaeology); Diversity (politics); Demographic economics; Population; Settlement (finance); Government (linguistics); Public policy; Geography; Political science; Development economics; Economics; Economic growth; Sociology; Demography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003482044,0.0003044983,0.0004609938,0.004566744,0.007534654,0.008731436,0.001451147,0.001217371,0.006195526],"category_scores_gemma":[0.008848542,0.0002934078,0.0004074937,0.009560199,0.009841572,0.001953578,0.002261167,0.001846738,0.0001795571],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1587796,"about_ca_system_score_gemma":0.2441003,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932092,"about_ca_topic_score_gemma":0.995836,"domain_scores_codex":[0.9959632,0.0003563532,0.000087985,0.000225326,0.001479095,0.001888083],"domain_scores_gemma":[0.9956105,0.0007593113,0.0006519942,0.0001535115,0.001933861,0.0008908152],"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":[0.0001848703,0.0001257674,0.1235423,0.0004648275,0.0000828179,0.0002314522,0.01499076,0.003115963,0.0006735137,0.7317142,0.02286719,0.1020063],"study_design_scores_gemma":[0.00004786903,0.00007182642,0.6775312,0.001409268,0.0001460705,0.00007927255,0.04400697,0.002124656,0.0005870915,0.03308664,0.2407646,0.0001445079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5047563,0.02506369,0.001364095,0.1602915,0.0003896533,0.0001149764,0.001799113,0.00008287586,0.3061378],"genre_scores_gemma":[0.9811954,0.006039734,0.0003919197,0.003106761,0.0001218156,0.00002079941,0.0001964494,0.00001404052,0.008912993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1587796,"threshold_uncertainty_score":0.9756964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063937340912785,"score_gpt":0.2846010576459175,"score_spread":0.2739616842367896,"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."}}