{"id":"W6888933468","doi":"10.24546/81011863","title":"アメリカが内向きのナショナリズムを選ぶとき : 出生地主義に基づく市民権と移民制度改革をめぐるアメリカ保守主義の変容","year":2019,"lang":"en","type":"other","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conservatism; Nationalism; Hegemony; Citizenship; Argument (complex analysis); Meaning (existential); Immigration; Skepticism; Presidential system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00054381,0.001683968,0.001448331,0.001256373,0.0006108211,0.0004910197,0.001819512,0.001156589,0.00468395],"category_scores_gemma":[0.0008450893,0.001691971,0.00054539,0.001221295,0.001344833,0.001109772,0.001125139,0.001429412,0.07002566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133276,"about_ca_system_score_gemma":0.002926515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005572741,"about_ca_topic_score_gemma":0.0008076546,"domain_scores_codex":[0.9916578,0.0002662617,0.001256616,0.002390372,0.00304198,0.001386947],"domain_scores_gemma":[0.9934167,0.0002375759,0.001179511,0.004080346,0.0004449875,0.0006408815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001611721,0.0003347399,0.0007581457,0.0005510446,0.00063499,0.001009856,0.00004775701,0.00003953201,0.001816348,0.08786412,0.9064397,0.0003425512],"study_design_scores_gemma":[0.001251158,0.00008180352,0.0001321643,0.002384562,0.0003332463,0.0007414221,0.00004546052,0.00005314962,0.0009839309,0.00009273942,0.9920257,0.001874608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001008399,0.005769966,0.001232103,0.0001461304,0.01851846,0.001704772,0.02633112,0.002866011,0.9433306],"genre_scores_gemma":[0.002708481,0.0003305963,0.004581614,0.0003045597,0.01116652,0.0003019437,0.02017075,0.003034286,0.9574013],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08777137,"threshold_uncertainty_score":0.9995907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694201679692564,"score_gpt":0.2658759461066866,"score_spread":0.248933929309761,"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."}}