{"id":"W4413417625","doi":"10.4324/9781003584827-7","title":"Multimodal Networked Framing of Racism in Canada","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Framing (construction); Racism; Sociology; Political science; Media studies; Geography; Gender studies","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":[0.0007649594,0.0003369502,0.0002249601,0.001816911,0.02162638,0.007229693,0.0008406623,0.0009236711,0.009517822],"category_scores_gemma":[0.002351315,0.0002032668,0.0001574968,0.003767842,0.006863674,0.001679387,0.003175884,0.001877058,0.0004524965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07270531,"about_ca_system_score_gemma":0.06941746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9898685,"about_ca_topic_score_gemma":0.9958184,"domain_scores_codex":[0.9989378,0.0001904918,0.00001187558,0.000123124,0.0003483281,0.0003883327],"domain_scores_gemma":[0.9985918,0.0004292997,0.0001292698,0.0000649423,0.0004326948,0.0003519393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001183662,0.00003735286,0.03122739,0.0001283893,0.00001938802,0.001141819,0.8092239,0.0005474412,0.002605402,0.06910618,0.03931432,0.04653015],"study_design_scores_gemma":[0.000008408584,0.00002246722,0.04482831,0.0001623818,0.00002369,0.0001293869,0.6228606,0.0008025143,0.0008070724,0.002697446,0.3275943,0.00006343801],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8052404,0.001317137,0.0009509251,0.0115186,0.0001742063,0.00003855697,0.0008129668,0.00008679662,0.1798605],"genre_scores_gemma":[0.9780332,0.0004881117,0.0002896407,0.0003958372,0.00001947953,0.0000109609,0.0001542332,0.0000393219,0.02056919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07270531,"threshold_uncertainty_score":0.5275165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368259169469111,"score_gpt":0.2222054801107431,"score_spread":0.208522888416052,"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."}}