{"id":"W4206324714","doi":"10.31124/advance.14770296","title":"The construction of the Covid-19 pandemic as a social problem: expert discourse and representational naturalization in the mass media during the first wave of the pandemic in Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Social Representations and Identity","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Naturalization; Appropriation; Context (archaeology); Relevance (law); Politics; Mass media; Pandemic; Sociology; Discourse analysis; Political science; Social media; Public relations; Modalities; Coronavirus disease 2019 (COVID-19); Media studies; Social science; Epistemology; Linguistics; Law; History; Medicine","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01627506,0.0005959686,0.0006371305,0.006334718,0.02418837,0.02610328,0.002236287,0.00273573,0.003070901],"category_scores_gemma":[0.02869242,0.0005163717,0.0004047995,0.007728829,0.03637911,0.007146009,0.008667324,0.00409007,0.0001856674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09690863,"about_ca_system_score_gemma":0.06275096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8760847,"about_ca_topic_score_gemma":0.8816221,"domain_scores_codex":[0.9856779,0.006762358,0.0003774464,0.001069856,0.003812334,0.002300124],"domain_scores_gemma":[0.9685194,0.02304968,0.002377729,0.000963824,0.003656142,0.001433232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003637926,0.00001323159,0.006047814,0.00009274861,0.00001071276,0.0004175722,0.9670618,0.000192158,0.0004631407,0.01763865,0.001397071,0.006628774],"study_design_scores_gemma":[0.00000689291,0.00001143443,0.01358975,0.0002103344,0.0000174798,0.00008979395,0.9376196,0.0004679512,0.0004993591,0.002854892,0.04458272,0.00004975947],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8864473,0.002120315,0.002801907,0.02234969,0.0001429946,0.0001271963,0.0004480232,0.00003918466,0.08552345],"genre_scores_gemma":[0.9953791,0.000643692,0.0006766717,0.0005462159,0.00003506566,0.00003132535,0.00007316095,0.00002649628,0.00258833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9758117,"threshold_uncertainty_score":0.7031246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04576190556468272,"score_gpt":0.3642728776083677,"score_spread":0.318510972043685,"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."}}