{"id":"W4396241500","doi":"10.25071/1920-7336.41072","title":"Multiple Encounters: Queer Migrants and 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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Learned Journals","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Queer; Bureaucracy; Criminology; Gender studies; Sociology; Political science; Politics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003788116,0.0004553689,0.0003814239,0.001934631,0.01921624,0.008160049,0.0008806176,0.001916319,0.005313647],"category_scores_gemma":[0.007071656,0.000267679,0.0002300224,0.002132892,0.02353367,0.005866083,0.008478029,0.002804005,0.0002335539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005189615,"about_ca_system_score_gemma":0.003895407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03167683,"about_ca_topic_score_gemma":0.06559856,"domain_scores_codex":[0.9948828,0.003137577,0.0001245371,0.0003114518,0.0003443583,0.001199197],"domain_scores_gemma":[0.9946414,0.002550429,0.001778603,0.0002554724,0.0002356455,0.0005384903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002584561,0.00001511546,0.01094198,0.00004577983,0.000007522053,0.001737448,0.9628772,0.00005206011,0.0001514174,0.01874226,0.0007639456,0.004639509],"study_design_scores_gemma":[0.000002268049,0.00001009279,0.003085312,0.00008654856,0.000003534316,0.0005043955,0.9860687,0.00003411622,0.0000548211,0.001326025,0.00881552,0.00000856625],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696879,0.001681778,0.001232547,0.005986375,0.00008338147,0.00003335521,0.00004475611,0.00001092845,0.02123903],"genre_scores_gemma":[0.9966087,0.0005921303,0.0001830612,0.0003754492,0.00003092872,0.00001515553,0.00001550401,0.000006464576,0.002172662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03167683,"threshold_uncertainty_score":0.06298488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010556284073695,"score_gpt":0.274014108736661,"score_spread":0.2639085458959241,"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."}}