{"id":"W3080682679","doi":"10.1177/0011392120946387","title":"Constructing the refugee: Comparison between newspaper coverage of the Syrian refugee crisis in Canada and the UK","year":2020,"lang":"en","type":"article","venue":"Current Sociology","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Refugee; Newspaper; Politics; Immigration; Refugee crisis; Public opinion; Agency (philosophy); Mainstream; Representation (politics); Political science; Critical discourse analysis; Sociology; Public sphere; Gender studies; Media studies; Political economy; Social science; Law; Ideology","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":[0.001938965,0.0004766047,0.0004857259,0.01445115,0.005859844,0.009051256,0.0008719653,0.001049784,0.005358092],"category_scores_gemma":[0.01986841,0.0003397972,0.000232599,0.02597701,0.003160315,0.002348118,0.003366528,0.0008899189,0.0004846037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02663056,"about_ca_system_score_gemma":0.02756395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9456491,"about_ca_topic_score_gemma":0.9632298,"domain_scores_codex":[0.9969925,0.0005820978,0.0002654635,0.0001784434,0.001309895,0.0006716602],"domain_scores_gemma":[0.9760834,0.009061697,0.004541664,0.0004304187,0.007987126,0.001895623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004260023,0.00009869015,0.1258275,0.002061949,0.0001019691,0.003288196,0.790292,0.0001589294,0.001713915,0.00197305,0.01937156,0.05468617],"study_design_scores_gemma":[0.000008016954,0.00003917309,0.2482856,0.001022437,0.00004935149,0.0003994628,0.6879159,0.00008522052,0.0003903907,0.00006417011,0.06167071,0.000069547],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513796,0.007659154,0.00008768999,0.005398672,0.0002003683,0.00008857418,0.004274697,0.00002794933,0.03088324],"genre_scores_gemma":[0.9783197,0.01213056,0.0001574107,0.001191389,0.0001302604,0.00004846655,0.002289906,0.00005399527,0.005678196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05435091,"threshold_uncertainty_score":0.1932191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0359749072637448,"score_gpt":0.3171159186538531,"score_spread":0.2811410113901083,"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."}}