{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001306512,0.0003033463,0.0004449798,0.003173956,0.009857318,0.004449294,0.001826687,0.0005551353,0.002882719],"category_scores_gemma":[0.004406261,0.0003126045,0.0003760694,0.005457458,0.003265149,0.001472373,0.006511237,0.001485848,0.0002194967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04257379,"about_ca_system_score_gemma":0.0578498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912189,"about_ca_topic_score_gemma":0.9969578,"domain_scores_codex":[0.9988045,0.0001309532,0.00004940918,0.000150968,0.0002243626,0.0006399279],"domain_scores_gemma":[0.9968816,0.0002612249,0.0004460224,0.000126198,0.001459904,0.0008250247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001737154,0.00006693054,0.8152034,0.0000773921,0.00003865959,0.0005268164,0.1550718,0.000395395,0.0005024221,0.00316422,0.002337165,0.02244223],"study_design_scores_gemma":[0.000004264421,0.00003141802,0.7394739,0.0001632091,0.00001702453,0.0001131071,0.2524074,0.0009372609,0.0002047618,0.0005340173,0.006054197,0.00005936832],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965937,0.0001797704,0.0001030843,0.0004526938,0.000005624235,0.0000272889,0.0004624206,0.000004867012,0.002170616],"genre_scores_gemma":[0.9974551,0.0003065049,0.0002232643,0.00005617387,0.000001457018,0.00002023739,0.0004893219,0.000007306341,0.001440618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04257379,"threshold_uncertainty_score":0.3088959,"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."}}