{"id":"W6922444056","doi":"10.11575/prism/49508","title":"The Construction of Refugees in the Canadian News Media: A Critical Discourse Analysis","year":2023,"lang":"en","type":"other","venue":"Open MIND","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Framing (construction); Critical discourse analysis; Newspaper; Asylum seeker; Racism; Citizenship; Globe; Discourse analysis","routes":{"ca_aff":false,"ca_fund":false,"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":[0.02407645,0.001437558,0.0009982559,0.02724501,0.0332837,0.02458961,0.003198639,0.002289541,0.002644709],"category_scores_gemma":[0.03899908,0.0007535496,0.000761905,0.02767117,0.03356885,0.008383489,0.007930953,0.003564283,0.0002116031],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1396158,"about_ca_system_score_gemma":0.1189111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8976648,"about_ca_topic_score_gemma":0.8892167,"domain_scores_codex":[0.9861926,0.005797214,0.0007790823,0.001164636,0.00414521,0.00192122],"domain_scores_gemma":[0.9472536,0.03464497,0.002711841,0.0008177333,0.01226959,0.002302272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002062271,0.00001138605,0.002609564,0.0002897465,0.000006378634,0.0004358849,0.9796826,0.00004048365,0.0002768081,0.009290959,0.001857622,0.005477895],"study_design_scores_gemma":[0.000003772612,0.000005115376,0.003595434,0.0005905335,0.00001614221,0.00006634284,0.9633579,0.0001540164,0.0002378252,0.0007948198,0.03115098,0.00002728217],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8607172,0.01050251,0.005874884,0.02874796,0.0005072629,0.001630284,0.002614433,0.0001044346,0.08930104],"genre_scores_gemma":[0.9814052,0.005140738,0.004970209,0.001150045,0.00009340051,0.0005104952,0.0007470259,0.00007374016,0.005909203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1396158,"threshold_uncertainty_score":0.9979237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03458682555151212,"score_gpt":0.3920979484871422,"score_spread":0.3575111229356301,"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."}}