{"id":"W4245148459","doi":"10.32920/ryerson.14661537","title":"The Securitization of Refugees: A Critical Media Discourse Analysis of the Reporting on Syrian Refugees in Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Guelph-Humber","funders":"","keywords":"Refugee; Securitization; Syrian refugees; Newspaper; Immigration; Political science; Moral panic; Critical discourse analysis; Criminology; Spanish Civil War; Sociology; Ideology; Law; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007219399,0.0008715313,0.0006473779,0.005875462,0.01972916,0.01260208,0.001480593,0.001590339,0.002074766],"category_scores_gemma":[0.01968482,0.0004212116,0.0003374731,0.009457739,0.01690296,0.002976504,0.004907825,0.003341462,0.0002089958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06095161,"about_ca_system_score_gemma":0.06692881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8877428,"about_ca_topic_score_gemma":0.9295553,"domain_scores_codex":[0.9953822,0.00172528,0.0002243612,0.0003854994,0.00133133,0.0009512366],"domain_scores_gemma":[0.9737061,0.01558144,0.002426898,0.000513817,0.005855801,0.001915966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002316796,0.00001390085,0.00421819,0.00008660838,0.000004733437,0.0004837439,0.9912662,0.00001477522,0.0004858019,0.0007895216,0.0006511075,0.00196223],"study_design_scores_gemma":[0.000001762172,0.00000677357,0.007142063,0.0001668049,0.000008232448,0.00004310344,0.9832606,0.00004055346,0.0002373044,0.00007212681,0.009006807,0.00001388247],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829503,0.001005762,0.0002220423,0.004791665,0.00009954838,0.00008411452,0.0003828398,0.00001081965,0.01045289],"genre_scores_gemma":[0.993583,0.001689701,0.0003513317,0.0009176017,0.00005931392,0.00005338581,0.0002231595,0.00003475399,0.003087685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1122572,"threshold_uncertainty_score":0.4422369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544888015092718,"score_gpt":0.3765417029903125,"score_spread":0.3510928228393854,"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."}}