{"id":"W2085870925","doi":"10.7202/1027776ar","title":"Semiotic Ideologies of Race: Racial Profiling and Retroduction","year":2014,"lang":"en","type":"article","venue":"Recherches sémiotiques","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Semiotics; Iconicity; Racial profiling; Ideology; Sociology; Race (biology); Racial formation theory; Semiosis; Profiling (computer programming); Epistemology; Linguistics; Gender studies; Politics; Computer science; Political science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001119969,0.0001316573,0.0002024472,0.00002440267,0.00006011873,0.00001717217,0.0001091917,0.0003370608,0.000002418764],"category_scores_gemma":[0.00137295,0.000124532,0.00007613673,0.00005425579,0.000218433,0.000006596779,0.00008974584,0.0001461,0.000001112645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002125782,"about_ca_system_score_gemma":0.00005202379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002369904,"about_ca_topic_score_gemma":0.00001525639,"domain_scores_codex":[0.9988949,0.0003044795,0.000213505,0.0003276046,0.00008546262,0.0001740345],"domain_scores_gemma":[0.9993721,0.0000609465,0.0001091333,0.0002923556,0.0001192579,0.00004620002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005653838,0.00003668996,0.01932053,0.0001159576,0.00005052394,1.667738e-7,0.0006997509,0.00004311264,0.9701146,0.0007244387,0.0008069252,0.008030693],"study_design_scores_gemma":[0.0002197712,0.0003374259,0.008826486,0.00002176909,0.00002420719,0.000006138271,0.0003939111,0.0002071707,0.9827247,0.002377217,0.004682585,0.000178614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991716,0.002266063,0.00397937,0.0003951483,0.0001419687,0.0001316788,0.000002542969,0.00002980218,0.001337442],"genre_scores_gemma":[0.9703566,0.002594948,0.02547688,0.0001023368,0.0004958784,0.000005776276,0.00002444483,0.00001903427,0.000924144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02149751,"threshold_uncertainty_score":0.5078266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03374019455299122,"score_gpt":0.3112570104847674,"score_spread":0.2775168159317762,"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."}}