{"id":"W4230240117","doi":"10.32920/ryerson.14638770.v1","title":"Institutionalizing Precarious Immigration Status in Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Access Alliance Multicultural Health and Community Services; York University","funders":"","keywords":"Citizenship; Immigration; Legal status; Context (archaeology); Residence; Immigration policy; Political science; Precarious work; Work (physics); Sociology; Demographic economics; Political economy; Geography; Law; Economics; 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":[0.002926042,0.0002858745,0.0004132635,0.003060248,0.01347935,0.005742962,0.001658376,0.0005653703,0.003681402],"category_scores_gemma":[0.01027553,0.000330346,0.0003463117,0.005156165,0.01072592,0.001384782,0.005218841,0.001468237,0.0001231696],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1727827,"about_ca_system_score_gemma":0.249904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997267,"about_ca_topic_score_gemma":0.9984895,"domain_scores_codex":[0.995549,0.0005135701,0.0001072508,0.0003971517,0.001218819,0.00221425],"domain_scores_gemma":[0.9927539,0.001036405,0.001021393,0.0004674601,0.002565629,0.002155164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002042072,0.00009771375,0.4338376,0.0002696734,0.0001330683,0.001321979,0.1394784,0.004394803,0.001306024,0.3126923,0.01570403,0.09056014],"study_design_scores_gemma":[0.00005331966,0.00005923426,0.710696,0.0008853991,0.0001304042,0.0002632477,0.1413946,0.003687773,0.0008882907,0.02402172,0.1176979,0.0002221718],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9099139,0.001499693,0.001760805,0.008700399,0.00007138521,0.00009955037,0.001219961,0.00005732485,0.07667704],"genre_scores_gemma":[0.9960001,0.0004199459,0.0004870204,0.0002400324,0.00000476112,0.00001266917,0.0001715824,0.00001189545,0.002652121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1727827,"threshold_uncertainty_score":0.9594548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185905545617215,"score_gpt":0.2827711955190482,"score_spread":0.2641806409573267,"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."}}