{"id":"W4396532525","doi":"10.22215/etd/2024-15965","title":"A Corpus-assisted Critical Discourse Analysis of the Representation of Syrian Refugees in Canadian Newspapers","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Middle East and Rwanda Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Newspaper; Critical discourse analysis; Refugee; Representation (politics); Linguistics; Corpus linguistics; Syrian refugees; Political science; Media studies; Sociology; Ideology; Philosophy; Politics; Law","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":[0.004571625,0.0006744685,0.0004670361,0.01436324,0.01154584,0.00667725,0.001065929,0.0008443973,0.00358832],"category_scores_gemma":[0.01222323,0.0003246413,0.0002501534,0.0209794,0.007233955,0.001964243,0.002408639,0.001228513,0.0003947288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03152389,"about_ca_system_score_gemma":0.03695145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7550168,"about_ca_topic_score_gemma":0.8367222,"domain_scores_codex":[0.9976391,0.0007391754,0.0001394206,0.0003339832,0.0007402,0.0004082404],"domain_scores_gemma":[0.9796169,0.01205524,0.0009592475,0.0005976378,0.006122252,0.0006487681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001041256,0.00003956044,0.007184467,0.0006534521,0.00001134786,0.001254799,0.9350826,0.0001280999,0.003832965,0.009696515,0.009870394,0.03214177],"study_design_scores_gemma":[0.00001072728,0.00001845508,0.02689098,0.0008177148,0.00004240839,0.0001837023,0.8019269,0.0004616764,0.001959233,0.0008033819,0.1668355,0.00004925858],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9023839,0.003215542,0.004509524,0.004405486,0.0004399079,0.0009225,0.01056559,0.0001515081,0.07340614],"genre_scores_gemma":[0.9653948,0.003260593,0.01097235,0.0005752578,0.0001381625,0.000712926,0.005503111,0.0001483537,0.01329445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2449832,"threshold_uncertainty_score":0.4928519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455461924630638,"score_gpt":0.3792875370685148,"score_spread":0.3547329178222084,"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."}}