{"id":"W4401778402","doi":"10.1080/1369183x.2024.2393652","title":"Friendly, not friends: migrant settlement and diverse social ties in Australian regional cities","year":2024,"lang":"en","type":"article","venue":"Journal of Ethnic and Migration Studies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Ethnic group; Multiculturalism; Settlement (finance); Economic geography; Interpersonal ties; Sociology; Value (mathematics); Transnationalism; Gender studies; Narrative; Political science; Geography; Social science; Business; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007806298,0.00008745526,0.0001862725,0.0001651486,0.0002860302,0.00008046504,0.00004647964,0.00006143579,0.00003206486],"category_scores_gemma":[0.00006786968,0.00006841416,0.00005436885,0.0002035847,0.0003649003,0.0003113718,0.00002337694,0.0001645903,0.000001107527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007013568,"about_ca_system_score_gemma":0.000094887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003018999,"about_ca_topic_score_gemma":0.04077108,"domain_scores_codex":[0.9990337,0.0001162623,0.0003121131,0.0001013182,0.0003027882,0.0001337465],"domain_scores_gemma":[0.9995116,0.0001422564,0.0001109871,0.00002396795,0.0001588107,0.00005236417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006484924,0.00003341701,0.002725185,0.00008684366,0.000220186,0.00003350693,0.8506508,0.00001137237,0.0001840358,0.06008719,0.06876834,0.01713422],"study_design_scores_gemma":[0.0004039928,0.0001259408,0.01708834,0.000170785,0.00008711703,0.0000103299,0.6290431,0.00007187002,0.00001586431,0.003010049,0.3498207,0.0001519679],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527792,0.01278408,0.00007140634,0.03364393,0.0003748196,0.00008099974,0.00002733394,0.00001415679,0.0002240768],"genre_scores_gemma":[0.9710279,0.02496706,0.000185945,0.0002855693,0.0003489188,0.000004261668,0.000002839166,0.000004555709,0.003172932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2810523,"threshold_uncertainty_score":0.9767324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1137760172981588,"score_gpt":0.4015707705079983,"score_spread":0.2877947532098395,"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."}}