{"id":"W3123255238","doi":"10.1002/jhbs.22081","title":"Elements of a counter‐exhibition: Excavating and countering a Canadian history and legacy of eugenics","year":2021,"lang":"en","type":"article","venue":"Journal of the History of the Behavioral Sciences","topic":"Disability Rights and Representation","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Canadian Physiotherapy Association; University of Toronto; Queen's University; University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Exhibition; Sociology; Eugenics; Colonialism; Oppression; Dehumanization; Scapegoating; Scholarship; CONTEST; Storytelling; Solidarity; Power (physics); Racism; Narrative; Gender studies; Museology; Disability studies; Media studies; Aesthetics; Anthropology; History; Visual arts; Politics; Law; Political science; Literature; Art history; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.001235061,0.00005015228,0.0001532291,0.00005475381,0.0002395895,0.00001635353,0.0003118874,0.00003135548,0.00007703641],"category_scores_gemma":[0.00009562783,0.00002964577,0.00008764683,0.0001015862,0.00248978,0.0003594317,0.00005870577,0.00008132993,4.692796e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007239639,"about_ca_system_score_gemma":0.00155888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04347375,"about_ca_topic_score_gemma":0.08185259,"domain_scores_codex":[0.9987261,0.0001677902,0.0003687015,0.00008471339,0.0005452405,0.0001075103],"domain_scores_gemma":[0.9989181,0.00003619043,0.0006515307,0.00009994389,0.0002322399,0.00006206791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008783151,0.000753962,0.5906529,0.0003113848,0.00008675997,0.00001261106,0.2179961,0.0001196275,0.1423638,0.01801877,0.01657674,0.01301956],"study_design_scores_gemma":[0.002158029,0.000961393,0.3853135,0.002311557,0.0007937234,0.0001718717,0.1178852,0.0003160308,0.006408924,0.008282376,0.4746924,0.0007050551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933684,0.001524834,0.000001522508,0.001040374,0.001841591,0.00006704302,0.000003874552,9.506813e-7,0.002151362],"genre_scores_gemma":[0.9984018,0.0000514142,0.0001843213,0.00004026029,0.000040391,3.995175e-7,6.981576e-8,0.000001946486,0.0012794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4581157,"threshold_uncertainty_score":0.9628959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08240450406572747,"score_gpt":0.3263390668768862,"score_spread":0.2439345628111588,"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."}}