{"id":"W4220736460","doi":"10.1080/17502977.2022.2031520","title":"You Cannot Improve What You Do Not Measure – The Gendered Dimensions of UN PKO Data","year":2022,"lang":"en","type":"article","venue":"Journal of Intervention and Statebuilding","topic":"Peacebuilding and International Security","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Affairs Canada","keywords":"Peacekeeping; Situation awareness; Gender mainstreaming; Situational ethics; Mainstreaming; Geospatial analysis; Measure (data warehouse); Political science; Sociology; Public relations; Public administration; Computer science; Engineering; Gender equality; Geography; Law; Gender studies","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004960174,0.00008509149,0.0001861541,0.0001264649,0.0007120439,0.000200601,0.0006594158,0.00003116847,0.0003677149],"category_scores_gemma":[0.0005030246,0.00005870018,0.0001676675,0.0001756695,0.0001231768,0.0007859565,0.0003527076,0.000370329,4.788372e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001339786,"about_ca_system_score_gemma":0.0001011132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008637524,"about_ca_topic_score_gemma":0.0002003604,"domain_scores_codex":[0.9977536,0.0005452398,0.0005853359,0.0001554959,0.0007909246,0.0001693886],"domain_scores_gemma":[0.9985602,0.0001361592,0.0007349208,0.0001887637,0.0002898647,0.00009012337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001817542,0.002142748,0.005776086,0.0001826103,0.002432917,0.0001469355,0.1285073,0.002027354,0.04467731,0.08353022,0.07986583,0.6488931],"study_design_scores_gemma":[0.003783701,0.001088731,0.003954743,0.0009390829,0.0003672315,0.0002045484,0.2452046,0.003934466,0.004619871,0.009794781,0.7255411,0.0005671366],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799972,0.009236314,0.001023169,0.006946228,0.002110646,0.0001508537,0.0001479391,0.00001285593,0.0003748117],"genre_scores_gemma":[0.9962046,0.002988859,0.0001948708,0.000149668,0.0001422448,0.000002348645,0.000007735279,0.000007015959,0.000302708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.648326,"threshold_uncertainty_score":0.5476538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06361164180855908,"score_gpt":0.3522688686987945,"score_spread":0.2886572268902354,"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."}}