{"id":"W2916518432","doi":"10.3224/eris.v5i3.07","title":"On Backlash: Emotion and the Politicisation of Security","year":2018,"lang":"en","type":"article","venue":"European Review of International Studies","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Backlash; Reactionary; Hostility; Certainty; Key (lock); Epistemology; Sociology; Political science; Law and economics; Social psychology; Psychology; Law; Computer security; Computer science; Philosophy; Politics; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.002733684,0.00004392147,0.000142381,0.00002088643,0.0001469138,0.000008002073,0.0001539724,0.000008307273,0.0001020393],"category_scores_gemma":[0.002888713,0.00002781646,0.00004219326,0.00008719767,0.0008089148,0.00005932966,0.00005844253,0.00004275319,0.00002427844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003295291,"about_ca_system_score_gemma":0.00002310999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003174549,"about_ca_topic_score_gemma":0.00007749443,"domain_scores_codex":[0.9986253,0.0006757702,0.0002503417,0.00007776163,0.0002972259,0.00007360063],"domain_scores_gemma":[0.9989768,0.0002594001,0.00018487,0.00006538505,0.0004892604,0.00002429034],"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":[0.00001370503,0.00002296633,0.0001687518,0.0003383796,0.00004320513,1.713885e-7,0.01095758,4.296653e-8,4.831303e-7,0.9736932,0.009404762,0.005356774],"study_design_scores_gemma":[0.0006024279,0.0001585015,0.01524755,0.005295429,0.000033784,0.000001245626,0.004696484,0.000008290033,0.00001521296,0.0284447,0.9454048,0.0000916041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09514593,0.05001032,0.00001723175,0.03321524,0.0006887945,0.0003498054,0.00002116107,0.00001536272,0.8205361],"genre_scores_gemma":[0.8159642,0.1816065,0.00002246424,0.002037448,0.0002520244,0.000001199657,0.000002079998,0.000001961451,0.0001121123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9452485,"threshold_uncertainty_score":0.3458268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04314739665704268,"score_gpt":0.3891749764027684,"score_spread":0.3460275797457257,"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."}}