{"id":"W2731202044","doi":"10.1080/01419870.2017.1334939","title":"Introduction: migrant mothers challenging racialized citizenship","year":2017,"lang":"en","type":"article","venue":"Ethnic and Racial Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Arts and Humanities Research Council","keywords":"Racialization; Citizenship; Austerity; Gender studies; Sociology; Multiculturalism; Immigration; Xenophobia; Racism; Refugee; Political science; Criminology; Politics; Law; Race (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022388,0.0007577174,0.0005615603,0.0005407149,0.005237353,0.00338246,0.001139364,0.006341652,0.02113233],"category_scores_gemma":[0.004443736,0.0002671606,0.0005964809,0.0004207729,0.002243645,0.002507916,0.004276214,0.006301554,0.003958247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575139,"about_ca_system_score_gemma":0.002082912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001510257,"about_ca_topic_score_gemma":0.002472302,"domain_scores_codex":[0.9986455,0.0005856772,0.00006505787,0.0002072751,0.0002830738,0.0002134777],"domain_scores_gemma":[0.9983911,0.0007259955,0.0001384864,0.00006673965,0.0003196436,0.0003578962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007626494,0.0001216687,0.000793301,0.000747456,0.000007975954,0.0007481677,0.03476227,0.00006897496,0.0009084275,0.0353624,0.8659045,0.06049856],"study_design_scores_gemma":[0.00001334836,0.00009403543,0.001097784,0.0008949951,0.000007161944,0.0006245342,0.01332056,0.00004989162,0.0003163956,0.00403079,0.979535,0.00001549305],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02665872,0.04048397,0.005061124,0.5202844,0.2475098,0.0004640114,0.0006337142,0.0004043005,0.1585001],"genre_scores_gemma":[0.1948827,0.05486407,0.009837856,0.2980779,0.1152772,0.00164422,0.0008249482,0.0007117231,0.3238793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02113233,"threshold_uncertainty_score":0.07069463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09714964065738885,"score_gpt":0.4059152509403012,"score_spread":0.3087656102829123,"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."}}