{"id":"W2137375941","doi":"10.1111/j.1467-9248.2007.00717.x","title":"When Does Diversity Erode Trust? Neighborhood Diversity, Interpersonal Trust and the Mediating Effect of Social Interactions","year":2008,"lang":"en","type":"article","venue":"Political Studies","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":607,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Diversity (politics); Ethnic group; Social psychology; Interpersonal communication; Cultural diversity; Interpersonal ties; Context (archaeology); Survey data collection; European Social Survey; Democracy; Social trust; Citizenship; Cohesion (chemistry); Sociology; Social capital; Psychology; Political science; Politics; Geography; Social science","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":["sts"],"category_scores_codex":[0.000500518,0.0001101795,0.0003254686,0.00002441386,0.004825507,0.00001697036,0.0001858326,0.00006063601,0.00006642653],"category_scores_gemma":[0.001056939,0.00006432545,0.0001488415,0.00009203095,0.003350295,0.000134915,0.001363701,0.0001923584,0.000004338201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001153044,"about_ca_system_score_gemma":0.00002064336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004200569,"about_ca_topic_score_gemma":0.0009592363,"domain_scores_codex":[0.9985873,0.0003953718,0.0001421542,0.0001503062,0.0003600522,0.0003648422],"domain_scores_gemma":[0.9975759,0.002128818,0.00006402668,0.00004311618,0.00008990529,0.00009821657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001724818,0.00003526715,0.335318,0.00002394083,0.0002815907,0.00000439446,0.4095194,5.4052e-8,0.000001150337,0.2524647,0.001079021,0.001100032],"study_design_scores_gemma":[0.004613789,0.0003430852,0.3413445,0.00006881201,0.0008232983,0.000005426286,0.4757399,0.00009603681,0.0001036966,0.1743718,0.001899021,0.000590659],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729224,0.0004675752,0.000006852299,0.009193605,0.0005186552,0.0001661043,0.00002596226,0.00003750898,0.01666135],"genre_scores_gemma":[0.9983769,0.0002168401,0.00000794184,0.0002383917,0.0008412076,0.000007029421,0.000001163892,0.000003599847,0.0003069192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07809288,"threshold_uncertainty_score":0.999362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378203951933691,"score_gpt":0.3172831147889784,"score_spread":0.2794627195956093,"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."}}