{"id":"W2502117767","doi":"10.1057/9780230101593_15","title":"Militarized Knowledge and Academic Soldiers: Arming the University","year":2009,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan US eBooks","topic":"Politics and Conflicts in Afghanistan, Pakistan, and Middle East","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Political science; State (computer science); Battle; Neoliberalism (international relations); Democracy; Subject (documents); Law and economics; Order (exchange); Political economy; Adversary; Invisible hand; Government (linguistics); Law; Sociology; Economics; Market economy; Politics; Computer security; History; Philosophy","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"],"consensus_categories":[],"category_scores_codex":[0.0006236422,0.0004066562,0.0004379868,0.0001374696,0.001447369,0.00007422404,0.0006272444,0.0006018065,0.0001116014],"category_scores_gemma":[0.0000411544,0.0003571113,0.0002216954,0.00002620906,0.001357563,0.000004733923,0.00015357,0.0007462278,0.00004826062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002384751,"about_ca_system_score_gemma":0.0004468437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000735264,"about_ca_topic_score_gemma":0.002855006,"domain_scores_codex":[0.9980512,0.0001302688,0.0003159244,0.0005047709,0.0003591841,0.0006386378],"domain_scores_gemma":[0.9987272,0.0001977948,0.0002024457,0.0003935242,0.000128792,0.0003502279],"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":[0.00002709225,8.235286e-7,0.00001614335,0.00002258844,0.00005401262,0.00002649704,0.00293204,4.423838e-8,0.00001788081,0.975016,0.00001550441,0.02187136],"study_design_scores_gemma":[0.0002468795,0.00003199583,0.00006617208,0.0001222097,0.0001072828,0.000004283178,0.0005013487,0.000006119571,0.000005203638,0.2659364,0.732633,0.0003391476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007312083,0.005446641,0.00003402603,0.00003653325,0.0003399544,0.000447553,0.0001053915,0.0001009214,0.9934158],"genre_scores_gemma":[0.1426306,0.002676691,0.0000511906,0.0003224152,0.0006742653,0.000001810452,0.00001213807,0.00003658744,0.8535942],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7326175,"threshold_uncertainty_score":0.9998881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03326145530015955,"score_gpt":0.2766814843829848,"score_spread":0.2434200290828252,"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."}}