{"id":"W2996013972","doi":"10.29333/ejecs/301","title":"The Underground Railroad As Afrofuturism: Enslaved Blacks Who Imagined A Future And Used Technology To Reach The “Outer Spaces of Slavery”","year":2019,"lang":"en","type":"article","venue":"Journal of Ethnic and Cultural Studies","topic":"Utopian, Dystopian, and Speculative Fiction","field":"Arts and Humanities","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underground Railroad; Race (biology); Tact; Realism; Institution; Magic realism; White (mutation); History; Aesthetics; Sociology; Art; Law; Art history; Gender studies; Visual arts; Political science; Social science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002321383,0.0001543518,0.0003356052,0.00005485647,0.0004152021,0.00009321645,0.0001285812,0.00005538772,0.0000487444],"category_scores_gemma":[0.00003923205,0.00006357092,0.00009038545,0.00006791913,0.000519575,0.0001983964,0.00007334431,0.0002438591,0.000004137862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002368653,"about_ca_system_score_gemma":0.00001344039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004861797,"about_ca_topic_score_gemma":0.0005803212,"domain_scores_codex":[0.9991956,0.00006305752,0.0002962162,0.0001175365,0.0001702387,0.0001573336],"domain_scores_gemma":[0.9991239,0.0001131685,0.0002686737,0.0001091582,0.0003511747,0.00003387296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002562426,0.00003281604,0.001548584,0.00005144033,0.0009699745,0.000009428428,0.2716076,0.000001400322,0.001351485,0.7124357,0.005529063,0.006206248],"study_design_scores_gemma":[0.001130405,0.0008998705,0.01776284,0.0001821383,0.000210458,0.0001030339,0.2410087,0.000008077905,0.0002756029,0.01335311,0.7248375,0.0002283093],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699533,0.009790256,0.000003351555,0.01550474,0.0006181454,0.0001789944,0.00000280191,0.000008926067,0.003939459],"genre_scores_gemma":[0.8709328,0.008699358,0.00003327713,0.0002434088,0.0006882482,0.00000442891,4.626396e-7,0.000008442987,0.1193896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7193084,"threshold_uncertainty_score":0.3193441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03239640594143876,"score_gpt":0.3076673009104465,"score_spread":0.2752708949690078,"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."}}