{"id":"W2108052156","doi":"10.1177/0042098010379278","title":"Explaining Ethnic Enclave, Ethnic Entrepreneurial and Employment Niches","year":2010,"lang":"en","type":"article","venue":"Urban Studies","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Metropolitan area; Economic geography; Census; Ecological niche; Niche; Geography; Demographic economics; Economic growth; Regional science; Sociology; Ecology; Economics; Population; Demography; Anthropology","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":[0.001312634,0.0001718609,0.0002551698,0.001719764,0.001199219,0.001707937,0.0003996312,0.0002585097,0.003100344],"category_scores_gemma":[0.003858925,0.0001283612,0.0002020383,0.002004126,0.001969755,0.001040626,0.002521955,0.0002781105,0.0001529305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008754268,"about_ca_system_score_gemma":0.001201714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02049416,"about_ca_topic_score_gemma":0.06186519,"domain_scores_codex":[0.9995876,0.0001703173,0.00001801913,0.00004504278,0.00006106027,0.0001180549],"domain_scores_gemma":[0.9975278,0.0009870158,0.0007958018,0.0001139415,0.0001888227,0.0003866573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004293508,0.0000749678,0.9565969,0.00005137717,0.00003921076,0.00031617,0.0105216,0.0005036626,0.0003927443,0.01568556,0.0002048862,0.01557],"study_design_scores_gemma":[0.000006990051,0.00003786285,0.9277202,0.0001161486,0.00002645298,0.0001620179,0.05366821,0.002512513,0.0001881237,0.01290403,0.002647465,0.000009995031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956677,0.0002025274,0.0003056462,0.0002013557,0.000002462015,0.000004264924,0.00002882251,0.000001715915,0.00358549],"genre_scores_gemma":[0.9995449,0.0001083394,0.0001116096,0.000007939719,0.000003121976,0.000002120867,0.00001583355,9.34441e-7,0.000205098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02049416,"threshold_uncertainty_score":0.04074973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08944031574718965,"score_gpt":0.359036910996248,"score_spread":0.2695965952490584,"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."}}