{"id":"W4242169310","doi":"10.22215/rera.v11i1.255","title":"Mapping of Population Diversity in Canada and Germany: Different Strategies, Similar Pragmatism","year":2017,"lang":"en","type":"article","venue":"Review of European and Russian Affairs","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Population; Pragmatism; Citizenship; Geography; Order (exchange); Sociology; Economic geography; Regional science; Politics; Social science; Political science; Demography; Epistemology; Anthropology; Law; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01463127,0.0004182477,0.0007208772,0.01062101,0.0061467,0.007133415,0.002685537,0.000767864,0.0007923564],"category_scores_gemma":[0.02188755,0.0002244926,0.0005089971,0.01617298,0.01123669,0.002345831,0.004318728,0.001669202,0.00007855556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05097472,"about_ca_system_score_gemma":0.05554292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9109778,"about_ca_topic_score_gemma":0.9225866,"domain_scores_codex":[0.9908621,0.003421711,0.000496418,0.001316518,0.002951124,0.0009520646],"domain_scores_gemma":[0.9903209,0.003935667,0.0007356337,0.001104122,0.003350808,0.0005529901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008554343,0.00003190558,0.04918259,0.0007607836,0.0002129437,0.000340985,0.06556223,0.004891361,0.0008129416,0.4777721,0.009262304,0.3910843],"study_design_scores_gemma":[0.00002803904,0.00008377469,0.3555359,0.003572325,0.0003132323,0.0005046905,0.1551318,0.009319736,0.003984665,0.1700306,0.3011172,0.0003778685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5592206,0.06357515,0.1339698,0.0626003,0.0007713622,0.0005767806,0.00342099,0.0004035348,0.1754615],"genre_scores_gemma":[0.9316564,0.009852439,0.05054299,0.001615219,0.00007607286,0.0002026649,0.0006967047,0.00006532628,0.005292181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08902216,"threshold_uncertainty_score":0.3698492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04119799657301311,"score_gpt":0.2823953316185634,"score_spread":0.2411973350455504,"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."}}