{"id":"W3205507137","doi":"10.32920/ryerson.14657232.v1","title":"Securitized and criminalized: an analysis of Mexico’s addition to the list of designated countries of origin","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of British Columbia","funders":"","keywords":"Immigration; Plaintiff; Government (linguistics); Securitization; Legislation; Political science; Refugee; Language change; Illegal immigration; Human rights; Deportation; Immigration policy; Public administration; Law; Business; Finance","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":[0.003388239,0.0002022883,0.0003315908,0.001881321,0.01124374,0.004170056,0.0008953763,0.001122266,0.002977846],"category_scores_gemma":[0.008466861,0.0003316433,0.0001633743,0.003269152,0.006910455,0.002634953,0.00464232,0.002043184,0.0001154471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01302541,"about_ca_system_score_gemma":0.009585643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2558578,"about_ca_topic_score_gemma":0.3835658,"domain_scores_codex":[0.9975153,0.001196736,0.00008305985,0.0002003048,0.0002763531,0.0007283352],"domain_scores_gemma":[0.9959338,0.002258757,0.0008194807,0.0001608425,0.0005215224,0.0003056259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000332624,0.00002721745,0.02134902,0.00006925264,0.000004307232,0.0008237225,0.9649907,0.00003364101,0.0003023182,0.00708208,0.001277432,0.004007071],"study_design_scores_gemma":[0.000001122056,0.000009628739,0.02089847,0.00007990499,0.000002932477,0.00006846758,0.9706413,0.0000446884,0.00008982032,0.0001492369,0.008009134,0.000005376462],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990997,0.0001971964,0.0001617339,0.001851127,0.00001640087,0.00002667816,0.0001462379,0.000002450498,0.006601204],"genre_scores_gemma":[0.9940628,0.0006004096,0.0004094501,0.0005122856,0.000013964,0.0000908347,0.0002197983,0.00001317755,0.004077251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2558578,"threshold_uncertainty_score":0.508737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03704360507779341,"score_gpt":0.3513943664664605,"score_spread":0.3143507613886671,"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."}}