{"id":"W2885597262","doi":"","title":"Hysteria and Discrimination: Canada's Harsh Response to Refugees and Migrants Who Arrive by Sea","year":2011,"lang":"en","type":"article","venue":"University of New Brunswick Law Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Refugee; Hysteria; Criminology; Immigration; Political science; Law; History; Sociology; Psychology; Psychoanalysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001898005,0.0002198234,0.0003630659,0.0008764004,0.04216776,0.006401194,0.001849065,0.004672466,0.003595812],"category_scores_gemma":[0.009449295,0.0002960991,0.0002567684,0.001462228,0.01109632,0.001206947,0.00494839,0.007962312,0.0002616844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05123274,"about_ca_system_score_gemma":0.1336464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810075,"about_ca_topic_score_gemma":0.9958143,"domain_scores_codex":[0.9967088,0.0005273531,0.00006027451,0.0001259275,0.0005452777,0.002032435],"domain_scores_gemma":[0.992778,0.0009702996,0.0007018897,0.0001504879,0.001813904,0.003585365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002796453,0.0001922034,0.1469306,0.00008094888,0.00005507472,0.005436097,0.6797948,0.0004147324,0.001156785,0.02715557,0.09676825,0.04173528],"study_design_scores_gemma":[0.00001947274,0.00003591093,0.08665429,0.0001041471,0.00001682991,0.0003292537,0.8390355,0.00009984671,0.0001535694,0.0009578526,0.07253785,0.00005549394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8685665,0.0007765067,0.00008322157,0.08763726,0.000417227,0.00004921718,0.0000877279,0.00001119686,0.04237112],"genre_scores_gemma":[0.9749296,0.0003947316,0.00004316398,0.01039121,0.0000503712,0.00001392611,0.00002126279,0.00001289415,0.01414293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05123274,"threshold_uncertainty_score":0.3717213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413216631811027,"score_gpt":0.2294016550905195,"score_spread":0.2152694887724092,"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."}}