{"id":"W2096674647","doi":"10.1080/01419870.2014.928340","title":"Producing and negotiating non-citizenship: precarious legal status in Canada","year":2014,"lang":"en","type":"article","venue":"Ethnic and Racial Studies","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":293,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Citizenship; Immigration; Negotiation; Political science; Legal status; Character (mathematics); Political economy; Sociology; Law; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002392409,0.0001585843,0.000390629,0.00117434,0.02931376,0.00745108,0.002182679,0.001720531,0.005528426],"category_scores_gemma":[0.006268931,0.0002791188,0.0003098167,0.002102868,0.0104204,0.001583246,0.004216975,0.0038308,0.0002599093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1009327,"about_ca_system_score_gemma":0.2529755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965848,"about_ca_topic_score_gemma":0.9990134,"domain_scores_codex":[0.9958829,0.0005070611,0.00008060398,0.0002678477,0.0006472102,0.002614442],"domain_scores_gemma":[0.9931063,0.00107709,0.0005839687,0.0001978739,0.001238405,0.003796289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002012004,0.0003083305,0.2687931,0.0001670676,0.00005562431,0.002193332,0.3075402,0.00103922,0.0008007674,0.2699004,0.03584774,0.113153],"study_design_scores_gemma":[0.00004554991,0.00006438894,0.3377284,0.0004432933,0.00004896126,0.0003358244,0.4673183,0.001566409,0.0005730353,0.01410273,0.1776357,0.0001375003],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757389,0.001444173,0.0003634814,0.02830811,0.0000973476,0.000049733,0.0002059481,0.00001509109,0.09377722],"genre_scores_gemma":[0.989261,0.0005599952,0.0001843368,0.000899346,0.00000650546,0.000007361668,0.00004799189,0.000007848114,0.00902563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1009327,"threshold_uncertainty_score":0.7323214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03892018458366099,"score_gpt":0.3454860683111552,"score_spread":0.3065658837274942,"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."}}