{"id":"W2895927111","doi":"10.1080/14616742.2018.1516512","title":"Reproductions of global security: accounting for the private security household","year":2018,"lang":"en","type":"article","venue":"International Feminist Journal of Politics","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University","funders":"Social Sciences and Humanities Research Council of Canada; Government of Canada; Economic and Social Research Council; Mount Saint Vincent University","keywords":"Militarism; Neoliberalism (international relations); Outsourcing; Critical security studies; Private security; International security; Private sector; Sociology; Economics; Business; Political science; Political economy; Public administration; Economic growth; Cloud computing security; Law; Politics; Network security policy; Cloud computing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001343665,0.00009361158,0.0001609692,0.00005261318,0.0004590629,0.0001211001,0.0007505351,0.00007654363,0.00005117756],"category_scores_gemma":[0.001456052,0.00007687866,0.0001969043,0.0001556971,0.0006371655,0.0001718202,0.00007531819,0.0001651963,0.000003050283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186457,"about_ca_system_score_gemma":0.000403535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004010992,"about_ca_topic_score_gemma":0.000237014,"domain_scores_codex":[0.9983456,0.00006207189,0.0005334946,0.0001325254,0.000663483,0.0002628535],"domain_scores_gemma":[0.9976724,0.000272924,0.0005818714,0.0001843288,0.00119202,0.00009644775],"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":[0.00004360922,0.00015412,0.02494002,0.00001615943,0.0002156507,0.000003460895,0.01814433,0.000005509438,0.00005095443,0.9487287,0.007337727,0.0003597803],"study_design_scores_gemma":[0.0004294948,0.0001288651,0.004983136,0.00005048989,0.000100649,0.00008160456,0.01361505,0.00009203335,0.0007038137,0.2189237,0.7607613,0.0001298237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161659,0.0004440717,0.001530151,0.01924917,0.009009721,0.0003037274,0.0005243972,0.00003210522,0.05274078],"genre_scores_gemma":[0.9924116,0.00007637747,0.0003321592,0.0004244118,0.006519366,0.000002512927,0.000001581405,0.000008177595,0.0002238526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7534236,"threshold_uncertainty_score":0.3530787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04844809975489684,"score_gpt":0.3588348385003008,"score_spread":0.310386738745404,"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."}}