{"id":"W7164893534","doi":"10.1080/17153379.2024.12558493","title":"Reordering Adivasi Worlds: Representation, Resistance, Memory.","year":2024,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Anthropological Studies and Insights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Natural (archaeology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002177291,0.000517468,0.0002787131,0.001677193,0.008615361,0.008700335,0.0009972963,0.001380369,0.008454745],"category_scores_gemma":[0.00552922,0.0002678455,0.0001905421,0.001669338,0.02119082,0.01206952,0.005343028,0.003969511,0.0006017726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002566505,"about_ca_system_score_gemma":0.002585631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087134,"about_ca_topic_score_gemma":0.01668744,"domain_scores_codex":[0.9986929,0.0007831372,0.00003965228,0.0001399575,0.0001729799,0.0001713443],"domain_scores_gemma":[0.9982421,0.0006784142,0.000222353,0.0005009956,0.0002227382,0.0001332421],"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":[0.00003835153,0.0000306298,0.001261541,0.0000556411,0.000005770464,0.0002857068,0.3605727,0.0001202542,0.0003710424,0.6023644,0.003526789,0.03136697],"study_design_scores_gemma":[0.00001541302,0.00004980108,0.003633845,0.0003183974,0.00002670978,0.0007858573,0.4609188,0.0008409488,0.001577483,0.2143663,0.317429,0.00003748378],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.190606,0.001866779,0.01160603,0.009568357,0.0003273303,0.00006137171,0.00008821215,0.00008754288,0.7857884],"genre_scores_gemma":[0.9712436,0.0007167243,0.002378678,0.0002578436,0.00004374674,0.0000329349,0.00003749508,0.00005806416,0.02523092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01087134,"threshold_uncertainty_score":0.02828389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02925555896989481,"score_gpt":0.3164509318943938,"score_spread":0.287195372924499,"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."}}