{"id":"W4298395482","doi":"10.1111/1467-8322.12755","title":"ANTHROPOLOGY'S THREE ONTOLOGICAL TURNS: <i>It is time for a fourth, from anti‐anthropology back to anthropology</i>","year":2022,"lang":"en","type":"article","venue":"Anthropology Today","topic":"Anthropology: Ethics, History, Culture","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Anthropology; Digital anthropology; Four field approach; Sociocultural anthropology; Biological anthropology; Cultural anthropology; Anthropology of art; Applied anthropology; Sociology; Anthropological linguistics; Linguistic anthropology; History; Philosophy; Linguistics; Art history; Contemporary art","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.002967523,0.001493349,0.003004875,0.000725896,0.01160022,0.0001417437,0.00365369,0.002892931,0.3058006],"category_scores_gemma":[0.002225253,0.001531969,0.001045102,0.00150066,0.05538502,0.0005474738,0.001776103,0.003060328,0.004492297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665896,"about_ca_system_score_gemma":0.001745442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04411592,"about_ca_topic_score_gemma":0.05436383,"domain_scores_codex":[0.9850473,0.00376035,0.001986589,0.003684568,0.001357625,0.0041636],"domain_scores_gemma":[0.9918827,0.002960088,0.001110463,0.002091094,0.0008704715,0.001085141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009250806,0.001597489,0.00953763,0.00004548934,0.0008133035,0.0004534127,0.06553418,0.0000521389,0.001550326,0.03041907,0.8868235,0.002248345],"study_design_scores_gemma":[0.002480287,0.003022141,0.0005057068,0.00003055836,0.0003621316,0.0001900719,0.09396143,0.00009184569,0.0004817251,0.01640333,0.8807284,0.00174241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0435481,0.008175068,0.02066431,0.8505797,0.03083661,0.005563023,0.00391425,0.001467386,0.03525152],"genre_scores_gemma":[0.8069829,0.004663839,0.01914225,0.1395056,0.005870171,0.00191251,0.001196184,0.000629225,0.0200973],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7634348,"threshold_uncertainty_score":0.9997815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05056258516127862,"score_gpt":0.3634659930116175,"score_spread":0.3129034078503389,"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."}}