{"id":"W2917729011","doi":"10.4087/ahqy6800","title":"(De)Constructing Multiculturalism: A Discourse Analysis of Immigration and Refugee System in Canadian Media","year":2016,"lang":"en","type":"article","venue":"","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Multiculturalism; Immigration; Refugee; Political science; Sociology; Computer science; Media studies; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002327856,0.00009307517,0.0002838529,0.0004868123,0.0000828299,0.0000542436,0.0000645899,0.00002349805,0.000463702],"category_scores_gemma":[0.00007865475,0.00005072498,0.00007544804,0.0001327835,0.0002789868,0.0001922406,0.00001866153,0.0000286532,0.000002839466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001112122,"about_ca_system_score_gemma":0.00003351664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4444477,"about_ca_topic_score_gemma":0.986654,"domain_scores_codex":[0.9992374,0.00004248248,0.0002553544,0.0001488206,0.0001056644,0.0002103262],"domain_scores_gemma":[0.9995378,0.00009733965,0.00008902779,0.0001222634,0.00007880993,0.00007470615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006290036,0.00001698725,0.06114784,0.00003578738,0.001509918,0.0000202463,0.2233286,0.00001293884,0.000388057,0.7030121,0.0001518528,0.01036936],"study_design_scores_gemma":[0.0003844884,0.00001478079,0.01531724,0.0002115548,0.001927101,0.000002927704,0.9782665,0.00150185,0.0001971475,0.00007365971,0.001816235,0.0002865037],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775688,0.0001716242,0.00001570279,0.000501323,0.00006519543,0.00005521366,0.00006834597,0.00001762776,0.02153618],"genre_scores_gemma":[0.9989619,0.00001455629,0.0001048264,0.00002475132,0.0000761252,0.000007546762,0.000008969397,0.000004667573,0.0007966836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7549379,"threshold_uncertainty_score":0.5592518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301358192843151,"score_gpt":0.2555733275898133,"score_spread":0.2425597456613817,"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."}}