{"id":"W3045999333","doi":"10.1177/2332649220940346","title":"The Role of Skin Color in Latino Social Networks: Color Homophily in Sending and Receiving Societies","year":2020,"lang":"en","type":"article","venue":"Sociology of Race and Ethnicity","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of British Columbia; Harvard University; National Science Foundation","keywords":"Homophily; Ethnic group; Color line; Racialization; Skin color; Context (archaeology); Immigration; Diversity (politics); People of color; White (mutation); Social network (sociolinguistics); Social psychology; Psychology; Sociology; Race (biology); Geography; Gender studies; Political science; Social media; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002342851,0.00007358251,0.0003035575,0.00003144595,0.0005621522,0.00001558224,0.0001667501,0.0002745501,0.00001154171],"category_scores_gemma":[0.0006852396,0.00006353586,0.00005181327,0.0002428017,0.003288634,0.0001091198,0.0001439842,0.0004290642,7.68857e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003895108,"about_ca_system_score_gemma":0.0001081634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003303641,"about_ca_topic_score_gemma":0.008433742,"domain_scores_codex":[0.9983341,0.0007318099,0.0002627843,0.0001704357,0.0001681615,0.0003327646],"domain_scores_gemma":[0.998712,0.001010265,0.0001287543,0.00004072415,0.00005751763,0.00005075559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002536779,0.00005920384,0.3925833,0.00008012947,0.00004697836,0.000003511667,0.5655364,0.00008231548,0.001801708,0.01360414,0.001015869,0.02493277],"study_design_scores_gemma":[0.0007056904,0.0001752161,0.6471226,0.00003926576,0.00001518978,4.25105e-7,0.3201996,0.002015212,0.0001814858,0.02724522,0.002118627,0.0001814926],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821879,0.001981303,0.000005119592,0.01402663,0.00004853807,0.0001743859,0.00000313901,0.000008406878,0.001564584],"genre_scores_gemma":[0.9944203,0.005179677,0.00002341104,0.0001103487,0.00014953,0.000008427292,8.425065e-7,0.00000425865,0.0001031363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2545393,"threshold_uncertainty_score":0.9994239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03142360857431276,"score_gpt":0.3355410796212059,"score_spread":0.3041174710468931,"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."}}