{"id":"W3056283823","doi":"10.1111/bjir.12567","title":"Constructing Inequalities: Tenure Trajectories of Immigrant Workers and Union Strategies in the Milan Construction Sector","year":2020,"lang":"en","type":"article","venue":"British Journal of Industrial Relations","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Université du Québec à Montréal","funders":"","keywords":"Immigration; Inequality; Position (finance); Labour economics; Demographic economics; Ethnic group; Business; Economics; Political science; Finance","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.001210603,0.00006098726,0.0001914902,0.00006930906,0.0002860557,0.0001516839,0.00009912834,0.0001455446,0.00009355217],"category_scores_gemma":[0.001356938,0.00005940254,0.00005909485,0.0003369478,0.000385512,0.0005500626,0.000007169426,0.0004379966,3.679216e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004933541,"about_ca_system_score_gemma":0.00052684,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007859841,"about_ca_topic_score_gemma":0.02441873,"domain_scores_codex":[0.9984997,0.0005219603,0.00056192,0.00007735044,0.0002204913,0.0001186121],"domain_scores_gemma":[0.9987865,0.0005268058,0.0004346021,0.00003325136,0.0001515899,0.000067261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000145263,0.00005717681,0.5924115,0.00002740924,0.0001111509,0.0000370641,0.3087534,0.0005805136,0.0000556554,0.04921067,0.00357995,0.04503024],"study_design_scores_gemma":[0.00107277,0.0001272585,0.01803734,0.0002724256,0.000043128,0.0001527934,0.9741669,0.00002537125,0.00001915269,0.003558445,0.002414133,0.0001103003],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938589,0.0004397844,0.0002877175,0.002430753,0.0003064473,0.0001557272,0.00002986742,0.00000673558,0.002484053],"genre_scores_gemma":[0.9987483,0.0002485845,0.000284958,0.00002530573,0.0006676532,0.00000151114,0.000004248575,0.000003789378,0.00001564682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6654134,"threshold_uncertainty_score":0.9987469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05957046159372945,"score_gpt":0.2797957194282807,"score_spread":0.2202252578345513,"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."}}