{"id":"W1585834220","doi":"10.1111/j.1467-9248.2012.00969.x","title":"Social Capital and Ethno-racial Diversity: Learning to Trust in an Immigrant Society","year":2012,"lang":"en","type":"article","venue":"Political Studies","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University","funders":"","keywords":"Socialization; Social capital; Diversity (politics); Multiculturalism; Normalization (sociology); Immigration; Ethnic group; Sociology; Cultural diversity; Racial diversity; Contact hypothesis; Social psychology; Politics; Political socialization; Gender studies; Political science; Psychology; Social science; American political science; Anthropology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000598144,0.0001132628,0.0002347463,0.00002573894,0.001899463,0.00003964778,0.00009816348,0.0001282361,0.0000223607],"category_scores_gemma":[0.0002827718,0.0001076531,0.00008076827,0.0001848076,0.0006950992,0.0002573809,0.0003882336,0.0002450654,0.00001966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002073965,"about_ca_system_score_gemma":0.00002180344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005940365,"about_ca_topic_score_gemma":0.006084756,"domain_scores_codex":[0.9982898,0.0001819957,0.0001245072,0.0001735884,0.0002987522,0.0009313329],"domain_scores_gemma":[0.9993447,0.000203099,0.00002153357,0.00003117829,0.0000610244,0.0003384811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001143993,0.00005040099,0.1929165,0.000005774317,0.00002376248,0.00000117455,0.6794935,2.135204e-7,0.000003844982,0.1254872,0.0002073288,0.001798743],"study_design_scores_gemma":[0.0002285598,0.0000713669,0.3010716,0.000007663874,0.00002965423,2.239661e-7,0.6855077,0.000004945714,0.000005323399,0.01000622,0.002842242,0.0002244367],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902865,0.001134545,0.000003357174,0.005596451,0.0002258707,0.0001217478,0.000003280768,0.00005588482,0.00257236],"genre_scores_gemma":[0.9968932,0.00007855349,0.00003991016,0.0007074235,0.002086583,0.00001146225,0.000001210509,0.000006973324,0.0001747321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.115481,"threshold_uncertainty_score":0.9993999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08767882723229209,"score_gpt":0.3862958609362238,"score_spread":0.2986170337039317,"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."}}