{"id":"W2975590150","doi":"10.3138/ecf.32.1.123","title":"Transformations of Gender and Race in Maria Riddell’s Transatlantic Biopolitics","year":2019,"lang":"en","type":"article","venue":"Eighteenth-Century Fiction","topic":"Colonialism, slavery, and trade","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foregrounding; Race (biology); Natural (archaeology); Politics; Conversation; Gender studies; Ethnology; History; White (mutation); Sociology; Anthropology; Archaeology; Art; Literature; Political science; Biology; Law","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":[0.0002560095,0.00008932131,0.000151073,0.0001380496,0.0001347875,0.0000298831,0.00007945282,0.0001150011,0.0002154834],"category_scores_gemma":[0.000009249909,0.00009108483,0.00005797661,0.0002384099,0.00009634317,0.0002713375,0.000005454031,0.0001138604,0.00001750333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007449013,"about_ca_system_score_gemma":0.00007687079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009546263,"about_ca_topic_score_gemma":0.0003605219,"domain_scores_codex":[0.9990157,0.0001075799,0.000249611,0.0001529898,0.0002355821,0.000238511],"domain_scores_gemma":[0.9996713,0.00006792504,0.00005839045,0.0001017274,0.00003332412,0.00006736263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003127315,0.001393265,0.1918056,0.000591308,0.0001719046,0.00001052336,0.362612,0.000237212,0.003386288,0.4298573,0.002579368,0.007042487],"study_design_scores_gemma":[0.005737492,0.0002925588,0.4801408,0.0001840489,0.0002511578,0.00001194789,0.02849805,0.002782313,0.002395003,0.00315332,0.4756346,0.0009187179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746408,0.00108739,0.0002142516,0.0003702902,0.0008556213,0.0004381031,0.00002457641,0.0000377365,0.02233119],"genre_scores_gemma":[0.9916588,0.008029222,0.00007008138,0.00002918376,0.00009620351,0.000006207687,0.00001904249,0.000007337015,0.00008390257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4730552,"threshold_uncertainty_score":0.3714332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397967408384568,"score_gpt":0.2607070083890551,"score_spread":0.2467273343052095,"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."}}