{"id":"W1758546681","doi":"10.25336/p60w33","title":"Ethnic-connectedness and economic inequality: a persisting relationship","year":2002,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Optimal distinctiveness theory; Ethnic group; Social connectedness; Inequality; Immigration; Demographic economics; Sociology; Census; Development economics; Geography; Social psychology; Demography; Psychology; Economics; Population; Anthropology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001153563,0.0001249235,0.0002770292,0.001119605,0.001536209,0.001245201,0.0005318327,0.0004202508,0.003930632],"category_scores_gemma":[0.005522242,0.0001073819,0.000231631,0.00156886,0.001898109,0.0008387163,0.001589223,0.0009979502,0.0001117083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403264,"about_ca_system_score_gemma":0.002030233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1776119,"about_ca_topic_score_gemma":0.2501618,"domain_scores_codex":[0.9993454,0.0001537793,0.00003086782,0.0001104534,0.0001603325,0.0001992263],"domain_scores_gemma":[0.9950187,0.00185273,0.0008719768,0.0003218607,0.0006778219,0.001256965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000528325,0.00004691681,0.9882158,0.000007632498,0.00005696142,0.00008551053,0.00136239,0.00008569144,0.0001453064,0.002139697,0.0001382289,0.007663178],"study_design_scores_gemma":[0.000001898867,0.00002099591,0.996152,0.00001439026,0.00001948079,0.00005370219,0.002423795,0.0001820541,0.00003928651,0.0005961767,0.0004910227,0.00000509465],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947019,0.0005264236,0.000121465,0.001012422,0.000008891241,0.000002952248,0.00006610823,0.000002255471,0.003557591],"genre_scores_gemma":[0.9996012,0.0000998411,0.00003104695,0.0000332094,0.000006057601,8.308063e-7,0.00002228681,0.000001010581,0.0002045198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8223881,"threshold_uncertainty_score":0.3531561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.22581695392403,"score_gpt":0.3708717305735427,"score_spread":0.1450547766495127,"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."}}