{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003475787,0.0001552177,0.0002095937,0.0001044172,0.0002512566,0.0002243245,0.0001661923,0.0002144003,0.0007117931],"category_scores_gemma":[0.0002787779,0.0001581804,0.000059943,0.0002418006,0.00005378547,0.0002880327,0.00007081997,0.000360794,0.000004343178],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003737092,"about_ca_system_score_gemma":0.02832626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9993449,"about_ca_topic_score_gemma":0.9999907,"domain_scores_codex":[0.9980667,0.0002582668,0.0003938692,0.000360414,0.000609822,0.0003109405],"domain_scores_gemma":[0.9992163,0.00005449445,0.0001420293,0.0001928418,0.0002863333,0.0001079729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003428325,0.0002240052,0.1961145,0.0002202581,0.0001284049,0.00005731021,0.2759494,0.01935363,0.0002993151,0.4467105,0.02876121,0.03214715],"study_design_scores_gemma":[0.0005795567,0.00002614948,0.1317678,0.000628272,0.0000554971,0.000001621519,0.1194114,0.00898284,0.0008877754,0.006102324,0.7301093,0.001447446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8796474,0.001975313,0.003775909,0.0007919286,0.002867528,0.0006983342,0.0000398321,0.00007283455,0.1101309],"genre_scores_gemma":[0.9949857,0.001256373,0.0006520025,0.0002541079,0.0002506914,0.00006356378,0.0006203313,0.000007585885,0.001909649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7013481,"threshold_uncertainty_score":0.9772364,"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."}}