{"id":"W4243414439","doi":"10.32920/ryerson.14652972","title":"White trauma: tracing trauma informed recovery and white supremacy in social work practice","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Centre for Social Innovation","funders":"","keywords":"White supremacy; Thematic analysis; White (mutation); Power (physics); Sociology; Service (business); Population; Public relations; Work (physics); Qualitative research; Social psychology; Political science; Psychology; Gender studies; Social science; Engineering; Business; Racism","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":[0.01515972,0.0007974595,0.0007053219,0.004231256,0.01923564,0.009144987,0.002013147,0.00206148,0.004032508],"category_scores_gemma":[0.02149366,0.0006810114,0.0003709368,0.003461745,0.04520057,0.008860159,0.01675471,0.00334414,0.0003558703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01037512,"about_ca_system_score_gemma":0.01035022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02264483,"about_ca_topic_score_gemma":0.03016308,"domain_scores_codex":[0.9780906,0.01683745,0.0004454859,0.0008584444,0.002136603,0.001631267],"domain_scores_gemma":[0.982153,0.01375152,0.001523844,0.0007863081,0.0008354367,0.0009500111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000007656619,0.000006356144,0.0003390739,0.00003960696,0.000001255065,0.0001879453,0.993152,0.00001704261,0.0001795862,0.004264128,0.0001922543,0.001613033],"study_design_scores_gemma":[0.000001035656,0.00001014353,0.0003397545,0.00008362078,0.000001298639,0.00008080369,0.9916692,0.00003537865,0.0001615897,0.001018135,0.006593692,0.000005234554],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490222,0.001112897,0.008317539,0.00780951,0.0001685868,0.0001996845,0.00007533861,0.00005684037,0.03323749],"genre_scores_gemma":[0.9933748,0.0004643067,0.001155396,0.0005225506,0.00002472295,0.0000889827,0.00002282133,0.00004532023,0.004300961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02264483,"threshold_uncertainty_score":0.08017319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2173597194712122,"score_gpt":0.4516313299731154,"score_spread":0.2342716105019032,"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."}}