{"id":"W4414049213","doi":"10.1093/ia/iiaf154","title":"Gender, race, and power: examining IR through an intersectional lens","year":2025,"lang":"en","type":"article","venue":"International Affairs","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Lens (geology); Through-the-lens metering; Intersectionality; Infrared","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008073111,0.0003673454,0.0004897845,0.006008703,0.008166948,0.01658774,0.001512545,0.00117673,0.01642185],"category_scores_gemma":[0.01542019,0.0002456223,0.0005580968,0.006799312,0.014045,0.01275117,0.01124644,0.002958346,0.0005127955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002511573,"about_ca_system_score_gemma":0.003399422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005418783,"about_ca_topic_score_gemma":0.007402253,"domain_scores_codex":[0.9940697,0.004022902,0.0001275914,0.0003857369,0.0006554805,0.0007386603],"domain_scores_gemma":[0.9880577,0.007961166,0.001396249,0.0007344249,0.0009841092,0.0008663627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001201006,0.0002303844,0.05472203,0.0001981724,0.00004303115,0.0001516288,0.160445,0.0001914151,0.0005787056,0.7283157,0.001861919,0.05314187],"study_design_scores_gemma":[0.00001432323,0.0001204887,0.08498706,0.000525836,0.00007645343,0.0002291103,0.6924841,0.0009985869,0.0006196155,0.1822677,0.03764217,0.00003449143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.498655,0.001971084,0.01043011,0.009785258,0.0001513303,0.00004643827,0.0001799208,0.00004252853,0.4787384],"genre_scores_gemma":[0.9957391,0.0002930287,0.001111724,0.0002586105,0.0000613684,0.00004821774,0.0000333291,0.0000211595,0.002433364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01658774,"threshold_uncertainty_score":0.05493659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1116306945857915,"score_gpt":0.3357980040914368,"score_spread":0.2241673095056453,"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."}}