{"id":"W3197064313","doi":"10.32920/ryerson.14660274.v1","title":"Highlighting two black families experience with Ontario's Child Welfare System","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Child Welfare and Adoption","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Lakehead University; Centre for Social Innovation; University of Toronto","funders":"","keywords":"Welfare; Apprehension; Critical race theory; Welfare system; Racism; Population; Race (biology); Sociology; Gender studies; Welfare reform; Critical theory; Psychology; Political science; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003031577,0.0003324652,0.0004462663,0.00008746637,0.001453025,0.000640935,0.0005043014,0.0002628782,0.000896778],"category_scores_gemma":[0.00002165509,0.0002764133,0.000163142,0.0002355081,0.0003009436,0.0002604176,0.0004408003,0.0006119171,0.00002229926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007835851,"about_ca_system_score_gemma":0.0004164283,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5016075,"about_ca_topic_score_gemma":0.8326027,"domain_scores_codex":[0.9975111,0.0001705611,0.0003107505,0.0007906915,0.0007558181,0.0004610951],"domain_scores_gemma":[0.9988145,0.00003369089,0.0002292323,0.0005292718,0.0002224373,0.0001708901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004032922,0.0001854446,0.04413167,0.0006594997,0.0002516957,0.0002425122,0.6690399,0.002589698,0.00001537029,0.278898,0.0003923179,0.003553583],"study_design_scores_gemma":[0.0006051646,0.00004747685,0.02857362,0.002717128,0.0001278822,0.0000196588,0.7393519,0.00009344597,0.0003253376,0.00003001243,0.2267203,0.001388088],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5556735,0.0001191818,0.0004235503,0.003652455,0.0007485097,0.0004185889,0.000004820305,0.0003843818,0.4385749],"genre_scores_gemma":[0.9941363,0.00009698498,0.0009171976,0.0001289029,0.0006557963,0.00004877392,0.00006589248,0.00002537162,0.003924832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4384627,"threshold_uncertainty_score":0.9999688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423327339462022,"score_gpt":0.2617810814825111,"score_spread":0.2475478080878909,"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."}}