{"id":"W3087975636","doi":"10.22230/cjc.2020v45n3a3585","title":"The Anatomy of a National Crisis: The Canadian Federal Government’s Response to the 2015 Kurdi Refugee Case","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; Toronto Metropolitan University","funders":"","keywords":"Blame; Immigration; Refugee; Citizenship; Political science; Government (linguistics); Prime minister; Refugee crisis; Politics; Immigration policy; Public administration; Federal election; Political economy; Law; Sociology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005979699,0.00007484686,0.0001047769,0.00008203093,0.004621116,0.0004244524,0.001986478,0.00007047504,0.00004941794],"category_scores_gemma":[0.002708359,0.00004646046,0.00008873849,0.0006222455,0.0003082002,0.0002824482,0.00005389714,0.000428058,0.00001163921],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032147,"about_ca_system_score_gemma":0.00631849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4439455,"about_ca_topic_score_gemma":0.9877135,"domain_scores_codex":[0.9967268,0.001916213,0.0004392317,0.00006629493,0.0006164654,0.0002349955],"domain_scores_gemma":[0.9966671,0.0008089751,0.0003881833,0.0006425258,0.0008888298,0.0006043282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000169341,0.0000220676,0.002509998,0.000002697447,0.0001842631,0.00002520087,0.1005484,0.0008648834,0.00001823666,0.2015176,0.6817541,0.01238335],"study_design_scores_gemma":[0.0001218209,0.00002928723,0.005261924,0.00001200528,0.00001424918,0.00004243611,0.03262457,0.0001935177,0.000004260176,0.001329125,0.9603086,0.00005819427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04545574,0.002462307,0.00008118312,0.9394509,0.0001131678,0.000295727,0.00004147045,0.000004103094,0.01209541],"genre_scores_gemma":[0.9954964,0.000199651,0.0001781377,0.003829272,0.00009236957,0.00001401,0.000002909656,0.000007596116,0.0001796428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9500407,"threshold_uncertainty_score":0.9993148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03382390787039861,"score_gpt":0.3384130357946041,"score_spread":0.3045891279242055,"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."}}