{"id":"W1513442400","doi":"10.25336/p6pw39","title":"Measuring race and ethnicity in the censuses of Australia, Canada, and the United States: Parallels and paradoxes","year":2015,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Census and Population Estimation","field":"Mathematics","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ethnic group; Race (biology); Census; Population; Parallels; Tribe; Geography; Institution; Demography; Political science; Sociology; Gender studies; Social science; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0190188,0.0002575937,0.0005359547,0.008022096,0.006252424,0.005053943,0.001365528,0.0005314783,0.0009101055],"category_scores_gemma":[0.08419748,0.0003750969,0.0002391958,0.01708692,0.01437021,0.004163057,0.003765593,0.001445349,0.0000794451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03493166,"about_ca_system_score_gemma":0.03144107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9668679,"about_ca_topic_score_gemma":0.9700747,"domain_scores_codex":[0.9874082,0.004918608,0.0007117233,0.001103027,0.004895236,0.0009632211],"domain_scores_gemma":[0.953885,0.0226323,0.004936968,0.002435323,0.0144307,0.001679685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000112745,0.00005692239,0.448738,0.0004368899,0.0001692297,0.0001682734,0.1362034,0.002143597,0.0005485307,0.2933946,0.009798273,0.1082294],"study_design_scores_gemma":[0.00001139329,0.00001741234,0.8266809,0.0006825944,0.00007418294,0.0000927415,0.07889657,0.003638389,0.0006993443,0.04933976,0.03976711,0.00009964752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.824892,0.01313674,0.01430482,0.0388262,0.0002812209,0.0001606506,0.00251362,0.00007566796,0.1058091],"genre_scores_gemma":[0.9925885,0.001819642,0.003090141,0.0009166509,0.00005946061,0.00004024849,0.0002775713,0.00002603574,0.001181763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03493166,"threshold_uncertainty_score":0.2534481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2976278834839509,"score_gpt":0.3777812241374542,"score_spread":0.08015334065350338,"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."}}