{"id":"W3121472072","doi":"10.2139/ssrn.2247142","title":"Deterring the ‘Boat People’: Explaining the Australian Government's People Swap Response to Asylum Seekers","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Swap (finance); Refugee; Government (linguistics); Business; Political science; Advertising; Law; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.005774462,0.0003668173,0.0003273093,0.0008856386,0.01085032,0.004665543,0.002030331,0.009299538,0.00924378],"category_scores_gemma":[0.01636506,0.0004064566,0.0004726438,0.0009369169,0.01404667,0.003862784,0.006108226,0.008028922,0.0005381177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008797847,"about_ca_system_score_gemma":0.0153254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1651838,"about_ca_topic_score_gemma":0.1826521,"domain_scores_codex":[0.9945065,0.002579589,0.0001105502,0.0002001668,0.0004977651,0.002105359],"domain_scores_gemma":[0.9949922,0.002038809,0.0009365265,0.0001724101,0.0006269848,0.001233036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007063691,0.0002127325,0.02931853,0.0002517071,0.00003618117,0.00215389,0.6237279,0.0004726984,0.0003558392,0.2804359,0.04312183,0.01984229],"study_design_scores_gemma":[0.00006110773,0.0001528565,0.06563479,0.0009487988,0.00005412595,0.0007315377,0.6894847,0.001859547,0.0002469778,0.08244479,0.1582692,0.0001116854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4301902,0.0008578091,0.001035172,0.4455912,0.0007437973,0.0001054308,0.00007254267,0.00001791864,0.121386],"genre_scores_gemma":[0.9636714,0.0004184039,0.0003605009,0.02321781,0.0001520611,0.00004436844,0.0000113758,0.00001326432,0.01211082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1651838,"threshold_uncertainty_score":0.3284446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008567842542104052,"score_gpt":0.2612921053423551,"score_spread":0.2527242628002511,"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."}}