{"id":"W4250155622","doi":"10.3138/utq.78.2.687","title":"From Social Security to Public Safety: Security Discourses and Canadian Citizenship","year":2009,"lang":"en","type":"article","venue":"University of Toronto Quarterly","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legitimacy; Citizenship; State (computer science); Political science; Public administration; Identity (music); National security; Social security; Critical security studies; Sociology; Public security; Public relations; Law; Politics; Cloud computing security; Aesthetics; Network security policy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002104388,0.00007495177,0.0001371132,0.00003785328,0.001072759,0.00006906739,0.0002147506,0.0000993983,0.001292835],"category_scores_gemma":[0.00002034272,0.00009677169,0.00005113649,0.00005513016,0.0001588608,0.0004870321,0.000009641571,0.00007899048,0.00001624126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003615507,"about_ca_system_score_gemma":0.0002534412,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900789,"about_ca_topic_score_gemma":0.9977799,"domain_scores_codex":[0.9991374,0.0001652855,0.00007188002,0.0001690028,0.0001677369,0.0002886988],"domain_scores_gemma":[0.9992936,0.00006218547,0.00005420917,0.0001017735,0.00006720906,0.0004210154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000334896,0.00003424582,0.001406334,0.000002013934,0.00002563975,0.000003473337,0.9410877,8.782948e-8,0.00002805738,0.02343222,0.01275932,0.02118744],"study_design_scores_gemma":[0.0004101338,0.000278277,0.2498743,0.0000154449,0.00005958885,4.19937e-7,0.4799743,0.00001338907,7.092451e-7,0.01093659,0.2581573,0.0002795427],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8483232,0.00003317019,0.00002888114,0.03199091,0.0001053624,0.0001209869,0.0002808094,0.00003516319,0.1190816],"genre_scores_gemma":[0.9988295,0.00004087449,0.0000941752,0.0003029238,0.0002495355,5.072405e-8,0.00001302903,0.000002460386,0.0004674085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4611134,"threshold_uncertainty_score":0.9996201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980401665944057,"score_gpt":0.282904621069738,"score_spread":0.2631006044102974,"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."}}