{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003444475,0.0006042007,0.0008387383,0.0008709418,0.009313941,0.003107367,0.001037899,0.001421358,0.002781592],"category_scores_gemma":[0.00541624,0.0006715143,0.0006517504,0.00122722,0.007010869,0.003041621,0.005895077,0.003382777,0.0002448628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005867682,"about_ca_system_score_gemma":0.007410678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2759484,"about_ca_topic_score_gemma":0.3545074,"domain_scores_codex":[0.9980039,0.0006932826,0.0001575961,0.0001421157,0.0004060928,0.0005970328],"domain_scores_gemma":[0.9969919,0.0006128248,0.000677878,0.0001369021,0.000353619,0.001226896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000227363,0.00002581397,0.009966196,0.0001037163,0.000007574174,0.001630251,0.9838952,0.000009989237,0.0007067023,0.0002453907,0.0003887864,0.002997584],"study_design_scores_gemma":[0.000003462822,0.00006574043,0.01610646,0.0001086562,0.000007558474,0.0008456045,0.9779636,0.00002418961,0.00007964204,0.00007125577,0.004701391,0.0000223869],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943874,0.0005621201,0.00009245287,0.001516359,0.00006252138,0.00004043889,0.00002313655,0.000004739488,0.003310827],"genre_scores_gemma":[0.9964328,0.0011344,0.0001434191,0.0005443225,0.00001988772,0.00003752642,0.0000179051,0.000009387029,0.001660308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2759484,"threshold_uncertainty_score":0.5486845,"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."}}