{"id":"W2995112085","doi":"10.1017/hyp.2019.3","title":"Decolonizing “Allyship” for Indian Country: Lessons from #NODAPL","year":2019,"lang":"en","type":"article","venue":"Hypatia","topic":"Feminist Epistemology and Gender Studies","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Indigenous; Mainstream; Indian country; Scrutiny; Political science; Operationalization; Injustice; Transgender; Subject (documents); Environmental ethics; Poverty; Sociology; Public relations; Political economy; Criminology; Gender studies; Law; Epistemology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003457668,0.00008364813,0.0001685248,0.00002793615,0.0005806287,0.00003993143,0.0002002998,0.0001405391,0.0002382198],"category_scores_gemma":[0.0001929972,0.0000839795,0.00004876844,0.0001039451,0.0001476749,0.00007617325,0.00003837971,0.00008644459,0.0002475447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005052386,"about_ca_system_score_gemma":0.000150385,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002224288,"about_ca_topic_score_gemma":0.02252798,"domain_scores_codex":[0.9991367,0.00008501849,0.000121764,0.0002208839,0.0001320869,0.0003035124],"domain_scores_gemma":[0.9991993,0.0004768596,0.00006996167,0.0001485523,0.00004803767,0.00005732721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009245747,0.0001132841,0.6326318,0.00005890677,0.0002971421,0.00001807682,0.1546325,0.000006081246,0.0001779106,0.1700878,0.02969587,0.01218823],"study_design_scores_gemma":[0.0008656849,0.0001192905,0.1682463,0.00004307059,0.00006561768,8.280196e-7,0.03176835,0.00002078056,0.00022239,0.03211322,0.7661312,0.0004033048],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8803968,0.001032736,0.0002830977,0.01336269,0.002613675,0.0008058142,0.0001988282,0.0001436049,0.1011627],"genre_scores_gemma":[0.9944171,0.0000461878,0.001683795,0.0007004802,0.0002296002,0.00004205562,0.0000331615,0.000009372628,0.002838232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7364353,"threshold_uncertainty_score":0.9953083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04605300647095712,"score_gpt":0.3510809852489164,"score_spread":0.3050279787779593,"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."}}