{"id":"W2726964442","doi":"10.1177/030437540002500403","title":"Mapping Populations: The United Nations, Globalization, and Engendered Spaces, 1948–1960","year":2000,"lang":"en","type":"article","venue":"Alternatives Global Local Political","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Ignorance; Globe; Poverty; Conviction; Globalization; Feeling; Gospel; Race (biology); Political science; History; Sociology; Development economics; Gender studies; Law; Psychology","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":[0.001871073,0.0004098793,0.0001689753,0.005390232,0.002117605,0.002163877,0.0004541111,0.0004919133,0.003593343],"category_scores_gemma":[0.00464865,0.0002210578,0.0001135855,0.01217441,0.003116784,0.004709438,0.002367747,0.0007256801,0.000242405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003930121,"about_ca_system_score_gemma":0.002480932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08924177,"about_ca_topic_score_gemma":0.1806498,"domain_scores_codex":[0.9992183,0.0004810886,0.0000566159,0.00006186826,0.0001155779,0.0000665223],"domain_scores_gemma":[0.9992363,0.0002902901,0.0001393298,0.00008627881,0.00017726,0.00007046097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006022013,0.00004999795,0.07499406,0.0004691201,0.00002509697,0.0006127955,0.1390432,0.0007242964,0.0002095215,0.2872319,0.1087256,0.3878542],"study_design_scores_gemma":[0.000007192359,0.00002646692,0.09788857,0.001124615,0.00001131272,0.0003515121,0.09989522,0.0002217591,0.0001686435,0.0233377,0.7769454,0.00002161661],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2365786,0.1396654,0.004373262,0.03421135,0.002260829,0.0002517382,0.006733785,0.0001026145,0.5758224],"genre_scores_gemma":[0.8913813,0.05400639,0.01276739,0.001316148,0.0003873634,0.0005068652,0.002264887,0.00006385997,0.03730589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08924177,"threshold_uncertainty_score":0.1774446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04206380270404769,"score_gpt":0.2728952625474561,"score_spread":0.2308314598434084,"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."}}