{"id":"W4308933149","doi":"10.1007/s40615-022-01448-7","title":"Stigmatising and Racialising COVID-19: Asian People’s Experience in New Zealand","year":2022,"lang":"en","type":"article","venue":"Journal of Racial and Ethnic Health Disparities","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Research Council of New Zealand; Massey University","keywords":"Racism; Pandemic; Ethnic group; Social distance; Context (archaeology); Quarter (Canadian coin); Population; Coronavirus disease 2019 (COVID-19); Demography; Geography; Psychology; Sociology; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002111806,0.0001318631,0.0006000336,0.0004308534,0.0004181114,0.00009119277,0.0001399925,0.00005672625,0.0001487753],"category_scores_gemma":[0.001186823,0.0001493783,0.00005278244,0.0003150554,0.0000839012,0.000451737,0.0001185029,0.0004843497,9.754342e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005071196,"about_ca_system_score_gemma":0.0009475095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0132911,"about_ca_topic_score_gemma":0.004827519,"domain_scores_codex":[0.9981681,0.00010688,0.001014056,0.0002069602,0.0001125218,0.0003915253],"domain_scores_gemma":[0.9982955,0.0002460734,0.0007691656,0.00009790106,0.00001418114,0.0005771281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002803841,0.0000821639,0.7293838,0.0004309748,0.00002458278,0.00004875059,0.221946,0.0005062444,0.000007498893,0.01226729,0.006571483,0.02845089],"study_design_scores_gemma":[0.002801897,0.0004093653,0.8097191,0.0001421262,0.000006978559,0.0004025022,0.01202191,0.0005780226,0.000001768083,0.05017614,0.1233552,0.0003848712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9104379,0.03325776,0.001875681,0.05325323,0.0007417267,0.0001934965,0.00005593705,0.00001252637,0.0001717347],"genre_scores_gemma":[0.9866026,0.003443409,0.0002505908,0.00920111,0.0002170086,0.000004569821,0.000002193168,0.00001345652,0.0002650304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2099241,"threshold_uncertainty_score":0.9932795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1130162876512204,"score_gpt":0.3680062752361274,"score_spread":0.254989987584907,"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."}}