{"id":"W2999799823","doi":"10.1080/20549547.2020.1712577","title":"Eating Clean: Anti-Chinese Sugar Advertising and the Making of White Racial Purity in the Canadian Pacific","year":2020,"lang":"en","type":"article","venue":"Global Food History","topic":"Culinary Culture and Tourism","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Social Sciences and Humanities Research Council of Canada; University of Regina","keywords":"Sugar; White (mutation); White paper; Advertising; Food science; Political science; Business; Law; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00161889,0.0004148044,0.0002079081,0.001532983,0.02735556,0.006245439,0.0007639421,0.0009485304,0.003007217],"category_scores_gemma":[0.002010507,0.0002236355,0.0002010628,0.002568245,0.0203262,0.001692307,0.002943601,0.002423641,0.0001179903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05326396,"about_ca_system_score_gemma":0.05594676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9751716,"about_ca_topic_score_gemma":0.9887161,"domain_scores_codex":[0.9989169,0.0002130376,0.00001444583,0.000101476,0.0003516344,0.0004025661],"domain_scores_gemma":[0.9989299,0.0003044143,0.000119958,0.00005055218,0.0003635944,0.0002316478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007336884,0.00002918478,0.009593215,0.0001071625,0.00001712686,0.0006691008,0.8299157,0.0001635648,0.001213738,0.1349598,0.005417378,0.01784064],"study_design_scores_gemma":[0.00001034756,0.00002560454,0.02815808,0.0002433358,0.0000642211,0.0001585713,0.7601337,0.0002577005,0.001408943,0.006084959,0.2033734,0.00008107832],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7444586,0.002113681,0.0005857968,0.0116478,0.0001550469,0.00001905249,0.0000740715,0.00002159336,0.2409244],"genre_scores_gemma":[0.9896188,0.00104276,0.000200078,0.0008132734,0.00001648425,0.000003994912,0.00001770968,0.00001538931,0.008271468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9726444,"threshold_uncertainty_score":0.3864589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845326498403414,"score_gpt":0.2079584887901181,"score_spread":0.189505223806084,"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."}}