{"id":"W4253308653","doi":"10.32920/ryerson.14647152.v1","title":"Witnessing the Genetic Self: How Non-Specialists use Reveal Videos to Approach Genetics and Race Through Direct-To-Consumer Genetic Ancestry Testing","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Rhetoric and Communication Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Centre for Social Innovation; Mount Royal University; York University","funders":"","keywords":"Genetic genealogy; Race (biology); Test (biology); Narrative; Interpretation (philosophy); Identity (music); Intersectionality; Sociology; Genetics; Computer science; Biology; Gender studies; Art; Aesthetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005671425,0.0003436066,0.0002121751,0.001170756,0.006363392,0.005748426,0.000823833,0.001795834,0.006552127],"category_scores_gemma":[0.02443095,0.0003075331,0.0001797143,0.0006786447,0.009536942,0.006436053,0.006643957,0.002757824,0.00103865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002481612,"about_ca_system_score_gemma":0.001493174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00701243,"about_ca_topic_score_gemma":0.009935527,"domain_scores_codex":[0.9938766,0.004707199,0.00009213813,0.0003320183,0.0005515276,0.0004404073],"domain_scores_gemma":[0.9846622,0.01254476,0.0008854722,0.0005101511,0.0005934119,0.0008039823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003415578,0.00001999579,0.00380235,0.00005948261,0.000003794177,0.0007196906,0.9696729,0.00003057143,0.001027527,0.01257001,0.003066995,0.008992705],"study_design_scores_gemma":[0.000008711582,0.00003747757,0.002627326,0.0002015341,0.000008921082,0.0007212554,0.8977433,0.0002479096,0.0008845995,0.005036524,0.09245618,0.00002616406],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8698071,0.001047433,0.009706448,0.01948119,0.0003610497,0.00008465794,0.0002031358,0.00009135349,0.09921759],"genre_scores_gemma":[0.9873772,0.0004239791,0.001258943,0.001751871,0.00005922616,0.00003574539,0.00006372444,0.00008487712,0.008944529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9936366,"threshold_uncertainty_score":0.02999371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1626301221689159,"score_gpt":0.2917609967273701,"score_spread":0.1291308745584542,"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."}}