{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004234772,0.0001334487,0.0005517477,0.000103999,0.000341694,0.00008765809,0.0006138961,0.0002103705,0.0001496981],"category_scores_gemma":[0.02074036,0.00008397313,0.0002309792,0.001610843,0.0004119165,0.0000627945,0.0002668846,0.0005391185,1.089437e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007251214,"about_ca_system_score_gemma":0.01076761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9823415,"about_ca_topic_score_gemma":0.9994282,"domain_scores_codex":[0.9952754,0.001230886,0.001537306,0.0003371678,0.001236308,0.0003828914],"domain_scores_gemma":[0.9962463,0.001410463,0.001195296,0.0005947932,0.0004117629,0.000141407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002535961,0.0002330032,0.07782216,0.0003334847,0.0005246453,0.00003515482,0.05636909,0.00214113,0.000005200062,0.8567103,0.001475612,0.004324889],"study_design_scores_gemma":[0.0003976187,0.00005609055,0.4656383,0.002794926,0.00156719,0.000002083665,0.4415481,0.004701427,0.0002469297,0.02858448,0.0534238,0.001039059],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585104,0.0003004921,0.00001942555,0.02396187,0.000932698,0.0002815932,0.0001022536,0.00001036282,0.01588089],"genre_scores_gemma":[0.9992936,0.0001543618,0.00004642744,0.0002966462,0.00008982178,0.00001257105,0.00004140328,0.000005308553,0.00005985764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8281258,"threshold_uncertainty_score":0.9948404,"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."}}