{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002059881,0.0008146639,0.0003651422,0.002204553,0.03244556,0.006635028,0.002062625,0.001936227,0.006481931],"category_scores_gemma":[0.00353481,0.0004193114,0.0003352568,0.002051362,0.02028072,0.002508773,0.006448668,0.002646332,0.0002913561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03047062,"about_ca_system_score_gemma":0.03728614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8318831,"about_ca_topic_score_gemma":0.9597825,"domain_scores_codex":[0.9981245,0.0006095686,0.00002846776,0.0002106406,0.0004779132,0.0005487988],"domain_scores_gemma":[0.9982488,0.0006888402,0.0001426176,0.0002293787,0.0003476519,0.0003428286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007519966,0.00002697873,0.006047833,0.0001741179,0.00001625479,0.002071395,0.9156439,0.0003272857,0.003207833,0.03355677,0.01186622,0.02698621],"study_design_scores_gemma":[0.000006753265,0.00004182959,0.007468171,0.0002594065,0.00003448192,0.0005680916,0.5791331,0.0004767033,0.002311341,0.00213367,0.4075081,0.00005836273],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8395958,0.002128333,0.005056277,0.01330286,0.0004519523,0.000120269,0.0002897609,0.0002297137,0.1388249],"genre_scores_gemma":[0.9605333,0.0009549624,0.00336432,0.0007592014,0.00004373717,0.00003697211,0.00008397676,0.0001225926,0.03410091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9675545,"threshold_uncertainty_score":0.3382139,"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."}}