{"id":"W4396899203","doi":"10.25071/1920-7336.41163","title":"Unmasking the Impact of Bureaucratic Violence","year":2024,"lang":"en","type":"article","venue":"Refuge Canada s Journal on Refuge","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bureaucracy; Political science; Criminology; Psychology; Law; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001104119,0.0001754534,0.000217337,0.0001382265,0.0006851738,0.0002581622,0.0003963681,0.0000905988,0.000660331],"category_scores_gemma":[0.000353326,0.00009856919,0.0002224483,0.0005574287,0.0001387441,0.0003088221,0.00001335851,0.0005349284,0.0000114593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241638,"about_ca_system_score_gemma":0.004118486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03910322,"about_ca_topic_score_gemma":0.163915,"domain_scores_codex":[0.9976889,0.0003535993,0.0004633901,0.0001880697,0.0009319953,0.00037397],"domain_scores_gemma":[0.9989049,0.000210574,0.0002078698,0.0002207014,0.0002391047,0.0002167918],"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":[0.0000416197,0.00005033563,0.0006772766,0.00003614052,0.0001842009,0.0001101273,0.001000261,0.0007759775,0.0008119401,0.9800533,0.009601736,0.006657076],"study_design_scores_gemma":[0.0001009904,0.0001952565,0.002003989,0.0006415168,0.00003332898,0.00004631181,0.00007839451,0.0008368508,0.0002999623,0.005607063,0.9899821,0.0001741955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940853,0.00277464,0.0001817028,0.0006665788,0.001017505,0.0001697945,0.00002133602,0.0000295721,0.001053611],"genre_scores_gemma":[0.9966656,0.00109785,0.00002697138,0.0003020901,0.0007815454,0.000004993531,0.000004726992,0.00001753991,0.001098677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9803804,"threshold_uncertainty_score":0.9672955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128709999391119,"score_gpt":0.3308044100792945,"score_spread":0.3179334101401826,"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."}}