{"id":"W3119737331","doi":"10.1080/1369183x.2020.1866978","title":"From illegalised migrant toward permanent resident: assembling precarious legal status trajectories and differential inclusion in Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Ethnic and Migration Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Adjudication; Inclusion (mineral); Residence; Refugee; Differential (mechanical device); State (computer science); Political science; Differential treatment; Sociology; Political economy; Demographic economics; Law; Gender studies; Demography; Business","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003934108,0.0001170154,0.0003146633,0.00008830714,0.0004516767,0.00009108448,0.00005864037,0.00006150694,0.00002346771],"category_scores_gemma":[0.0005358399,0.00009232373,0.00004845225,0.0001828502,0.00008242272,0.0004407121,0.00009244026,0.0001897123,1.049643e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003754026,"about_ca_system_score_gemma":0.001286181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8053468,"about_ca_topic_score_gemma":0.9967089,"domain_scores_codex":[0.9983199,0.0002957334,0.000502352,0.0001521436,0.0005527838,0.0001771235],"domain_scores_gemma":[0.9988691,0.0002397914,0.0002617615,0.00005337548,0.0004796186,0.00009633718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000166671,0.00005543009,0.01901029,0.00004523135,0.0001845333,0.00006470297,0.9542898,0.00004777463,0.009171509,0.001217586,0.004999231,0.01074723],"study_design_scores_gemma":[0.002387185,0.0002258011,0.3116321,0.0005661551,0.0002563067,0.00002018049,0.5933158,0.000365389,0.004856672,0.003721452,0.08217737,0.0004756483],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506614,0.04611321,0.0001289312,0.002268408,0.0006305277,0.00008720268,0.00001265944,0.000004502289,0.00009311794],"genre_scores_gemma":[0.9626434,0.03652832,0.00009999175,0.00009487825,0.0003541144,0.000003170448,0.00001097545,0.000004720705,0.0002603602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.360974,"threshold_uncertainty_score":0.3764852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04300304028743276,"score_gpt":0.3388455257105299,"score_spread":0.2958424854230972,"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."}}