{"id":"W1644350887","doi":"10.3138/topia.23-24.121","title":"Plugging Cultural Knowledge into the U.S. Military Machine: The Neo-Orientalist Logic of Counterinsurgency","year":2010,"lang":"en","type":"article","venue":"TOPIA Canadian Journal of Cultural Studies","topic":"Anthropology: Ethics, History, Culture","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Militarization; Sovereignty; Software deployment; Orientalism; Political science; Power (physics); Sociology; Geography; Engineering; Law; Politics","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":[0.002638638,0.0003182592,0.0002325513,0.00121572,0.006269798,0.007559172,0.0006504234,0.001747917,0.002138328],"category_scores_gemma":[0.002925192,0.0002037016,0.0001963614,0.001012258,0.04532481,0.007230614,0.003778406,0.003373527,0.0003043515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005457413,"about_ca_system_score_gemma":0.004144423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02056562,"about_ca_topic_score_gemma":0.02257673,"domain_scores_codex":[0.9982638,0.0009955232,0.00004967169,0.000245658,0.0002238164,0.0002216103],"domain_scores_gemma":[0.9989029,0.0004408311,0.0001365325,0.0001943504,0.0002187846,0.0001065755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004176353,0.000002920813,0.0002731066,0.00000796108,0.000001645799,0.00004475292,0.01298844,0.0000606968,0.0000503425,0.9822776,0.0006318295,0.003656514],"study_design_scores_gemma":[0.000009745559,0.00002575033,0.001057732,0.0002289527,0.00001303339,0.0001597054,0.03391786,0.0005412506,0.000425979,0.8065301,0.1570629,0.00002700373],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08739927,0.005581814,0.02029526,0.04901644,0.0006530686,0.0000289888,0.00003534366,0.00005355859,0.8369362],"genre_scores_gemma":[0.9850855,0.0009283194,0.002907511,0.002527864,0.0001037182,0.00002486902,0.00000828135,0.00002355558,0.008390335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02056562,"threshold_uncertainty_score":0.04089183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04886148679838453,"score_gpt":0.3692288098752819,"score_spread":0.3203673230768974,"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."}}