{"id":"W3106688183","doi":"10.17576/gema-2020-2004-03","title":"#WelcomeRefugees: A Critical Discourse Analysis of the Refugee Resettlement Initiative in Canadian News","year":2020,"lang":"en","type":"article","venue":"GEMA Online Journal of Language Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Framing (construction); Syrian refugees; Ideology; Media studies; Politics; Shame; Opposition (politics); Gender studies; Sociology; Political science; Photojournalism; Law; History; Art","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000763909,0.00009951957,0.0004222611,0.0003162477,0.0001931759,0.00002394189,0.0002715721,0.00004477769,0.0001432932],"category_scores_gemma":[0.00528523,0.00006173384,0.0002112922,0.001253536,0.000305823,0.000214764,0.0000375033,0.0002285285,0.000001120408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002248386,"about_ca_system_score_gemma":0.0005728498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04395298,"about_ca_topic_score_gemma":0.9480748,"domain_scores_codex":[0.9981261,0.0004269668,0.0006056844,0.0001115216,0.0004884934,0.0002412664],"domain_scores_gemma":[0.9986976,0.0002284152,0.0003055659,0.0001086532,0.000493783,0.0001660206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007019567,0.0002021933,0.09549404,0.00004500721,0.001623818,0.00007101873,0.8796584,0.0002117275,0.0002250574,0.01176361,0.007181431,0.003453532],"study_design_scores_gemma":[0.0005453132,0.0003206613,0.07692236,0.0002511544,0.001127079,0.000001784369,0.8852382,0.000312865,0.0001526677,0.0007555191,0.03415843,0.0002139444],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95583,0.004674029,0.0000470381,0.03826831,0.0001851667,0.0001275734,0.0001449565,0.000004016155,0.0007189297],"genre_scores_gemma":[0.9972673,0.0007882052,0.0003369712,0.001121672,0.0003990473,0.000002212444,0.000007847442,0.000004924461,0.00007183802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9041218,"threshold_uncertainty_score":0.9624134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06148373177061489,"score_gpt":0.433801673027457,"score_spread":0.3723179412568421,"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."}}