{"id":"W2810511658","doi":"10.1111/nana.12446","title":"Mapping institutional mechanisms of ethno‐national representation: towards a better measurement approach","year":2018,"lang":"en","type":"article","venue":"Nations and Nationalism","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Representation (politics); Argument (complex analysis); Politics; Computer science; State (computer science); Set (abstract data type); Management science; Sociology; Political science; Economics; Law; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001517344,0.00006598013,0.00009599897,0.000251246,0.0006565732,0.0000394163,0.0000822962,0.00009432078,0.0001802467],"category_scores_gemma":[0.001073844,0.00006526126,0.00003832758,0.0005824073,0.0002811015,0.0002427288,0.00001967281,0.00006419046,0.00001026993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002132247,"about_ca_system_score_gemma":0.0004209084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473734,"about_ca_topic_score_gemma":0.0007883307,"domain_scores_codex":[0.9979315,0.0001780562,0.0002727025,0.0001657496,0.001310171,0.0001417803],"domain_scores_gemma":[0.9978532,0.0001217713,0.00009442976,0.00005487319,0.001801664,0.00007407364],"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":[0.000002658548,0.00005085414,0.0005539988,0.0000100261,0.00002064463,7.931694e-8,0.002038294,0.00001180286,0.0007491861,0.9950085,0.0005786851,0.0009752451],"study_design_scores_gemma":[0.001108226,0.00008730324,0.1445397,0.00009174773,0.00003290352,0.000006184482,0.001378521,0.004139963,0.002997301,0.7690311,0.07618909,0.0003980019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1571042,0.0002379506,0.3356959,0.04165552,0.001136094,0.001299099,0.00015623,0.0001604403,0.4625546],"genre_scores_gemma":[0.9925986,0.000003609715,0.006040927,0.0003060402,0.0005984508,0.00005728372,0.00003420153,0.00000406315,0.0003568098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8354945,"threshold_uncertainty_score":0.5049897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1841790478397382,"score_gpt":0.3913885427782631,"score_spread":0.2072094949385249,"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."}}