{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004436133,0.0001933,0.0004028774,0.00006740281,0.00521602,0.001382706,0.002388954,0.0000813656,0.00113822],"category_scores_gemma":[0.001139982,0.0001368336,0.0001104444,0.0004444947,0.0008787952,0.001124237,0.000874284,0.0003916251,0.00002826461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008508633,"about_ca_system_score_gemma":0.0003375787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1520197,"about_ca_topic_score_gemma":0.1328611,"domain_scores_codex":[0.9981654,0.0003800604,0.0004513301,0.0003428385,0.000154494,0.0005058346],"domain_scores_gemma":[0.9988369,0.0003848758,0.0002475142,0.0004299638,0.00003909276,0.00006164648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002329377,0.0001637925,0.343489,0.00009185942,0.00005069,0.00003406236,0.4806582,0.0001581283,0.00004167177,0.1734373,0.001668872,0.000183128],"study_design_scores_gemma":[0.000697492,0.00004083309,0.8285946,0.00002271194,0.000009048493,0.00001651986,0.07777525,0.000104248,0.00002957289,0.07141312,0.02088931,0.0004073073],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9011583,0.0003986847,0.00002567685,0.005551491,0.0002810241,0.000353266,0.00009328149,0.00002412591,0.09211414],"genre_scores_gemma":[0.9903637,0.00005078635,0.00002065223,0.008741304,0.0001864103,0.00004232341,0.000005547616,0.0000113412,0.0005779074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4851056,"threshold_uncertainty_score":0.9997749,"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."}}