{"id":"W4413560950","doi":"10.64628/aam.3mmj44n36","title":"Searching for anti-racism agendas in South Asian Canadian communities","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Racism; Political science; Geography; Ethnology; Sociology; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002860791,0.0003523168,0.0004486266,0.003137532,0.02548742,0.01033461,0.00165172,0.001675365,0.009651165],"category_scores_gemma":[0.006681534,0.0002662422,0.0002737686,0.006751539,0.006649974,0.00332532,0.004895354,0.002731996,0.0002595722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05718329,"about_ca_system_score_gemma":0.1168657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9661709,"about_ca_topic_score_gemma":0.9884667,"domain_scores_codex":[0.9980659,0.0003794922,0.00002814862,0.0001097397,0.0002207977,0.001195894],"domain_scores_gemma":[0.9955103,0.0008982246,0.0006390448,0.0001125317,0.001071325,0.001768604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003211791,0.0003284938,0.1620795,0.0004567242,0.00008819568,0.0009859402,0.517175,0.0007059339,0.0009696091,0.188198,0.02813341,0.100558],"study_design_scores_gemma":[0.00001443725,0.00001965292,0.05372461,0.000267049,0.00003739752,0.00003609448,0.9130003,0.000310108,0.0001667795,0.007701068,0.02469539,0.00002696793],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8977873,0.001936046,0.0003699491,0.02583611,0.00007923759,0.00007880879,0.000260757,0.0000130599,0.07363882],"genre_scores_gemma":[0.9929725,0.001060275,0.0003812555,0.0007825317,0.00001645499,0.00002821181,0.00006152008,0.00000713192,0.004689975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05718329,"threshold_uncertainty_score":0.4148957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09667402762756619,"score_gpt":0.3588338599100965,"score_spread":0.2621598322825304,"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."}}