{"id":"W4394701140","doi":"10.25071/h4msdw94","title":"Policing citizenship: Some reflections on immigration enforcement and sanctuary in Toronto","year":2018,"lang":"en","type":"article","venue":"Canada Watch","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Immigration; Criminology; Enforcement; Political science; Sociology; Gender studies; Law; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002527299,0.000351608,0.0004579393,0.001641059,0.03389149,0.009812087,0.001867386,0.002719649,0.00743935],"category_scores_gemma":[0.007535096,0.0006609726,0.0003962829,0.00559563,0.01056826,0.002813188,0.00552429,0.007289626,0.0002436778],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1633363,"about_ca_system_score_gemma":0.1509243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960051,"about_ca_topic_score_gemma":0.9989033,"domain_scores_codex":[0.9958485,0.0007879616,0.0001265192,0.0002098098,0.0007164305,0.002310739],"domain_scores_gemma":[0.9881119,0.002737022,0.001215617,0.0002191348,0.002945999,0.004770473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004938407,0.0000308369,0.03894601,0.0001384619,0.00001776349,0.0007679273,0.9242902,0.0000937557,0.0003564983,0.01176448,0.01558472,0.007960018],"study_design_scores_gemma":[0.000003708082,0.00001594969,0.04244408,0.0001061065,0.00001150232,0.00003835696,0.9239829,0.00005130032,0.0001071602,0.0002271583,0.03298355,0.00002828639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8889192,0.00439942,0.0002770421,0.06429124,0.0004901567,0.00007559844,0.0004638635,0.00001890803,0.04106447],"genre_scores_gemma":[0.9800654,0.001847238,0.0001476456,0.003758271,0.00006208257,0.00002626787,0.00008544304,0.00002222564,0.0139855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1633363,"threshold_uncertainty_score":0.9704113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04859627902805142,"score_gpt":0.3839125978116363,"score_spread":0.3353163187835849,"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."}}