{"id":"W4389619634","doi":"10.25071/1920-7336.41069","title":"Waiting in Captivity: Slow Borders, Predatory Bureaucracies, and the Necrotemporality of Asylum Deterrence","year":2023,"lang":"en","type":"article","venue":"Refuge Canada s Journal on Refuge","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bureaucracy; Refugee; Administration (probate law); Ethnography; Vulnerability (computing); Government (linguistics); Deterrence theory; Criminology; Political science; Public administration; Sociology; Computer security; 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":[0.003160483,0.0001577268,0.0003159461,0.0001629789,0.0006548993,0.0001156034,0.0002833034,0.0001108203,0.00006110046],"category_scores_gemma":[0.001056634,0.0001117888,0.00007301737,0.0006219784,0.0003530818,0.0003377144,0.00003389012,0.0004990726,0.000001915492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004032609,"about_ca_system_score_gemma":0.001737412,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09952341,"about_ca_topic_score_gemma":0.6891963,"domain_scores_codex":[0.9971413,0.0008276746,0.0005551188,0.0002231175,0.0008549874,0.0003978103],"domain_scores_gemma":[0.9987441,0.0002916327,0.0003985769,0.0002044381,0.0001845152,0.0001767073],"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":[0.0003203069,0.00007719419,0.01769207,0.00008695492,0.00008378297,0.0001387539,0.004694349,0.0002414263,0.0004695609,0.9639255,0.005643219,0.006626809],"study_design_scores_gemma":[0.0006786112,0.00005157058,0.007873439,0.0001509558,0.00001188737,0.00001023645,0.0005374406,0.001003598,0.0001428434,0.002330251,0.9870441,0.0001650682],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964198,0.0005823118,0.00001388732,0.00188657,0.0003852662,0.0002630708,0.00002242477,0.00002329367,0.0004033099],"genre_scores_gemma":[0.9974347,0.0007226675,0.00002793305,0.0004594804,0.0001852768,0.000011135,0.00000937516,0.00001174545,0.00113768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9814009,"threshold_uncertainty_score":0.9064729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687130399979739,"score_gpt":0.2951288558645601,"score_spread":0.2782575518647627,"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."}}