{"id":"W2403867975","doi":"10.71781/19548","title":"Contextualizing discretion : micro-dynamics of Canada’s refugee determination system","year":2015,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Ottawa","keywords":"Refugee; Discretion; Dynamics (music); Political science; Sociology; Law; Pedagogy","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001305186,0.0001744996,0.000443386,0.001791001,0.008349854,0.008782213,0.001463445,0.001166399,0.01264543],"category_scores_gemma":[0.006653292,0.0002438187,0.0003185725,0.003359424,0.007242415,0.001886728,0.003778584,0.001482408,0.0003712863],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08150966,"about_ca_system_score_gemma":0.07196419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9801349,"about_ca_topic_score_gemma":0.9884338,"domain_scores_codex":[0.9979123,0.0003705915,0.00004494632,0.0002664174,0.000448373,0.0009573299],"domain_scores_gemma":[0.9964244,0.0008676155,0.000375427,0.0002371388,0.0009584409,0.001136916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002214632,0.0001118329,0.1804423,0.0001574719,0.0001203947,0.001002045,0.08116164,0.01462475,0.001105767,0.6595206,0.02543647,0.03609515],"study_design_scores_gemma":[0.0001063425,0.00006427593,0.4219961,0.0004818474,0.0001349899,0.0001848897,0.1698216,0.02413031,0.0005694784,0.112515,0.2697393,0.000255879],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7992561,0.001158166,0.003116103,0.01741325,0.00004415182,0.000126358,0.002089102,0.00007925885,0.1767176],"genre_scores_gemma":[0.9935509,0.0001851992,0.0003637437,0.000230244,0.000005902882,0.00001215001,0.0001613641,0.00001363288,0.005476842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9184904,"threshold_uncertainty_score":0.5913967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02799548350938256,"score_gpt":0.3449224151102275,"score_spread":0.316926931600845,"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."}}