{"id":"W3212079550","doi":"10.1016/j.ssaho.2021.100232","title":"Anti-Chinese stigma in the Greater Toronto Area during COVID-19: Aiming the spotlight towards community capacity","year":2021,"lang":"en","type":"article","venue":"Social Sciences & Humanities Open","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Stigma (botany); Xenophobia; Diaspora; Racism; Ethnic group; Cognitive reframing; Chinese americans; Sociology; China; Gender studies; Pandemic; Narrative; Criminology; Coronavirus disease 2019 (COVID-19); Political science; Psychology; Social psychology; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0006136,0.000177934,0.0001463325,0.0005388108,0.005299863,0.002709849,0.0004875526,0.0006918514,0.003435873],"category_scores_gemma":[0.00207016,0.00010675,0.0001297648,0.001028306,0.003722738,0.0008978808,0.002661046,0.001212263,0.00009023547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0293821,"about_ca_system_score_gemma":0.01518636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8635836,"about_ca_topic_score_gemma":0.9217237,"domain_scores_codex":[0.9993519,0.0001669722,0.000008928887,0.00002738279,0.00008126617,0.0003635613],"domain_scores_gemma":[0.9988286,0.0003206995,0.0002484618,0.00003988181,0.000151096,0.0004112248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001845315,0.0001485855,0.3005944,0.0002823012,0.00006483269,0.01060958,0.5436667,0.001802074,0.001314318,0.09649427,0.01756545,0.02727302],"study_design_scores_gemma":[0.000009438223,0.00003276086,0.2290701,0.0001986843,0.00001699932,0.0003762632,0.7302722,0.001341789,0.0002697334,0.003542287,0.03483735,0.00003240013],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973825,0.0004025159,0.0001162243,0.005104397,0.00002313487,0.00002201477,0.00009951697,0.000002589289,0.02040467],"genre_scores_gemma":[0.9982213,0.0002546792,0.00003462945,0.000109479,0.000008929579,0.00000510114,0.00002051915,0.000001248643,0.001344128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1364164,"threshold_uncertainty_score":0.2744396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2372759457936378,"score_gpt":0.3479733544864218,"score_spread":0.110697408692784,"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."}}