{"id":"W4379383662","doi":"10.55959/msu0130-0083-8-2023-1-138-164","title":"CIVIL WAR MEMORY, ANTI-RACISM, AND THE AMERICAN NATION: LATE 2010s — EARLY 2020s","year":2023,"lang":"en","type":"article","venue":"LOMONOSOV HISTORY JOURNAL","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Foundation for Basic Research; University of Oxford; York University; Princeton University","keywords":"Spanish Civil War; Racism; Sociocultural evolution; White (mutation); Collective memory; Gender studies; Reinterpretation; World War II; Sociology; History; Political science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001690676,0.0003146923,0.0002640122,0.002303415,0.007147396,0.006666468,0.0007214847,0.001383103,0.006169121],"category_scores_gemma":[0.002646818,0.0002325553,0.0001264012,0.002634087,0.003428498,0.005103473,0.003153533,0.004226001,0.0006145905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009277865,"about_ca_system_score_gemma":0.005158358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1870699,"about_ca_topic_score_gemma":0.3823787,"domain_scores_codex":[0.9992971,0.0001470722,0.00002598091,0.00004810833,0.0001942471,0.0002873627],"domain_scores_gemma":[0.9986213,0.0002709211,0.0002214629,0.00004235766,0.0003534812,0.0004904749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002187826,0.0003799488,0.07041582,0.0005244294,0.00002358619,0.0009319625,0.5330018,0.0001195689,0.0005833601,0.1246928,0.1141968,0.1549112],"study_design_scores_gemma":[0.000005233378,0.00006470644,0.1650513,0.0006931453,0.000009552569,0.0002626313,0.3666556,0.00006382951,0.0003904826,0.003529151,0.4632427,0.00003173262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.729695,0.02867262,0.0001695071,0.04741514,0.002100521,0.00003816707,0.001639413,0.0000187975,0.1902509],"genre_scores_gemma":[0.9587561,0.01349564,0.0001086106,0.002667604,0.0005153246,0.00004232399,0.0006081729,0.00002057586,0.02378572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1870699,"threshold_uncertainty_score":0.3719621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201181833261054,"score_gpt":0.2637359290861268,"score_spread":0.2436177457600214,"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."}}